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Previous Releases with Tested System Information | ANSYS Web Page Solutions

Previous Releases with Tested System Information ANSYS 2020 R1 Certified and Supported Computing Platforms ANSYS 2020 R1 - Platform Support by Application / Product (PDF) ANSYS 2020 R1 - 3Dconnexion Devices Certification (PDF) ANSYS 2020 R1 - Browser Support (PDF) ANSYS 2020 R1 - CAD Support (PDF) ANSYS 2020 R1 - Graphics Cards Tested (PDF) ANSYS 2020 R1 - GPU Accelerator Capabilities (PDF) ANSYS 2020 R1 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 2020 R1 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 2020 R1 - Remote Display and Virtual Desktop Support (PDF) ANSYS 2019 R3 Certified and Supported Computing Platforms ANSYS 2019 R3 - Browser Support (PDF) ANSYS 2019 R3 - CAD Support (PDF) ANSYS 2019 R3 - 3Dconnexion Devices Certification (PDF) ANSYS 2019 R3 - Graphics Cards Tested (PDF) ANSYS 2019 R3 - GPU Accelerator Capabilities (PDF) ANSYS 2019 R3 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 2019 R3 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 2019 R3 - Platform Support by Application / Product (PDF) ANSYS 2019 R3 - Remote Display and Virtual Desktop Support (PDF) ANSYS 2019 R2 Certified and Supported Computing Platforms ANSYS 2019 R2 - Browser Support (PDF) ANSYS 2019 R2 - CAD Support (PDF) ANSYS 2019 R2 - 3Dconnexion Devices Certification (PDF) ANSYS 2019 R2 - Graphics Cards Tested (PDF) ANSYS 2019 R2 - GPU Accelerator Capabilities (PDF) ANSYS 2019 R2  - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 2019 R2 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 2019 R2 - Platform Support by Application (PDF) ANSYS 2019 R2 - Remote Display and Virtual Desktop Support (PDF) ANSYS 2019 R1 Certified and Supported Computing Platforms ANSYS 2019 R1 - Browser Support (PDF) ANSYS 2019 R1 - CAD Support (PDF) ANSYS 2019 R1 - 3Dconnexion Devices Certification (PDF) ANSYS 2019 R1 - Graphics Cards Tested (PDF) ANSYS 2019 R1 - GPU Accelerator Capabilities (PDF) ANSYS 2019 R1 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 2019 R1 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 2019 R1 - Platform Support by Application (PDF) ANSYS 2019 R1 - Remote Display and Virtual Desktop Support (PDF) ANSYS 19.2 Certified and Supported Computing Platforms ANSYS 19.2 - Browser Support (PDF) ANSYS 19.2 - CAD Support (PDF) ANSYS 19.2 - 3Dconnexion Devices Certification (PDF) ANSYS 19.2 - Graphics Cards Tested (PDF) ANSYS 19.2 - GPU Accelerator Capabilities (PDF) ANSYS 19.2 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 19.2 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 19.2 - Platform Support by Application (PDF) ANSYS 19.2 - Remote Display and Virtual Desktop Support (PDF) ANSYS 19.1 Certified and Supported Computing Platforms ANSYS 19.1 - Browser Support (PDF) ANSYS 19.1 - CAD Support (PDF) ANSYS 19.1 - 3Dconnexion Devices Certification (PDF) ANSYS 19.1 - Graphics Cards Tested (PDF) ANSYS 19.1 - GPU Accelerator Capabilities (PDF) ANSYS 19.1 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 19.1 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 19.1 - Platform Support by Application (PDF) ANSYS 19.1 - Remote Display and Virtual Desktop Support (PDF) ANSYS 19.0 Certified and Supported Computing Platforms ANSYS 19.0 - Browser Support (PDF) ANSYS 19.0 - CAD Support (PDF) ANSYS 19.0 - 3Dconnexion Devices Certification (PDF) ANSYS 19.0 - Graphics Cards Tested (PDF) ANSYS 19.0 - GPU Accelerator & Co-Processor Capabilities (PDF) ANSYS 19.0 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 19.0 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 19.0 - Platform Support by Application (PDF) ANSYS 19.0 - Remote Display and Virtual Desktop Support (PDF) ANSYS 18.2 Certified and Supported Computing Platforms ANSYS 18.2 - Browser Support (PDF) ANSYS 18.2 - CAD Support (PDF) ANSYS 18.2 - 3Dconnexion Devices Certification (PDF) ANSYS 18.2 - Graphics Cards Tested (PDF) ANSYS 18.2 - GPU Accelerator & Co-Processor Capabilities (PDF) ANSYS 18.2 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 18.2 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 18.2 - Platform Support by Application (PDF) ANSYS 18.2 - Remote Display and Virtual Desktop Support (PDF) ANSYS 18.1 Certified and Supported Computing Platforms ANSYS 18.1 - Browser Support (PDF) ANSYS 18.1 - CAD Support (PDF) ANSYS 18.1 - 3Dconnexion Devices Certification (PDF) ANSYS 18.1 - Graphics Cards Tested (PDF) ANSYS 18.1 - GPU Accelerator & Co-Processor Capabilities (PDF) ANSYS 18.1 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 18.1 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 18.1 - Platform Support by Application (PDF) ANSYS 18.1 - Remote Display and Virtual Desktop Support (PDF) ANSYS 18.0 Certified and Supported Computing Platforms ANSYS 18.0 - Browser Support (PDF) ANSYS 18.0 - CAD Support (PDF) ANSYS 18.0 - 3Dconnexion Devices Certification (PDF) ANSYS 18.0 - Graphics Cards Tested (PDF) ANSYS 18.0 - GPU Accelerator & Co-Processor Capabilities (PDF) ANSYS 18.0 - Message Passing Interface Support for Parallel Computing (PDF) ANSYS 18.0 - Job Schedulers and Queuing Systems Support (PDF) ANSYS 18.0 - Platform Support by Application (PDF) ANSYS 18.0 - Remote Display and Virtual Desktop Support (PDF) ANSYS 17.2 Certified and Supported Computing Platforms ANSYS 17.2 - Browser Support (PDF) ANSYS 17.2 - CAD Support (PDF) ANSYS 17.2 - 3Dconnexion Devices Certification (PDF) ANSYS 17.2 - GPU Accelerator and Co-Processor Capabilities (PDF) ANSYS 17.2 - Graphics Cards Tested (PDF) ANSYS 17.2 - Interconnects Support (PDF) ANSYS 17.2 - Job Schedulers & Queuing Systems Support (PDF) ANSYS 17.2 - Platform Support by Application (PDF) ANSYS 17.2 - Remote Display Support (PDF) ANSYS 17.1 Certified and Supported Computing Platforms ANSYS 17.1 - Browser Support (PDF) ANSYS 17.1 - CAD Support (PDF) ANSYS 17.1 - Graphics Cards Tested (PDF) ANSYS 17.1 - Interconnects Support (PDF) ANSYS 17.1 - Job Schedulers & Queuing Systems Support (PDF) ANSYS 17.1 - Platform Support by Application (PDF) ANSYS 17.1 - Remote Display Support (PDF) ANSYS 17.0 Certified and Supported Computing Platforms ANSYS 17.0 - Browser Support (PDF) ANSYS 17.0 - CAD Support (PDF) ANSYS 17.0 - Graphics Cards Tested (PDF) ANSYS 17.0 - Interconnects Support (PDF) ANSYS 17.0 - Job Schedulers & Queuing Systems Support (PDF) ANSYS 17.0 - Platform Support by Application (PDF) ANSYS 17.0 - Remote Display Support (PDF) ANSYS 16.2 Certified and Supported Computing Platforms ANSYS 16.2 - Browser Support (PDF) ANSYS 16.2 - CAD Support (PDF) ANSYS 16.2 - Graphics Cards Tested (PDF) ANSYS 16.2 - Remote Display Support (PDF) ANSYS 16.2 - Interconnects Support (PDF) ANSYS 16.2 - Platform Support by Application (PDF) ANSYS 16.1 Certified and Supported Computing Platforms ANSYS 16.1 - Browser Support (PDF) ANSYS 16.1 - CAD Support (PDF) ANSYS 16.1 - Graphics Cards Tested (PDF) ANSYS 16.1 - Remote Display Support (PDF) ANSYS 16.1 - Interconnects Support (PDF) ANSYS 16.1 - Platform Support by Application (PDF) ANSYS 16.0 Certified and Supported Computing Platforms ANSYS 16.0 - Browser Support (PDF) ANSYS 16.0 - CAD Support (PDF) ANSYS 16.0 - Electronics Support (PDF) ANSYS 16.0 - Graphics Cards Tested (PDF) ANSYS 16.0 - Remote Display Support (PDF) ANSYS 16.0 - Interconnects Support (PDF) ANSYS 16.0 - Platform Support by Application (PDF)

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Simulation World Agenda | June 10-11, 2020 | Ansys

Two Days – Three Regional Start Times – 150+ inspiring sessions (70+ each day!) Wherever you are, you’ll be able to experience Simulation World, with 150+ sessions, 50+ sponsors/exhibitors, and plenty of opportunity to network. The agenda is spread across two days (June 10-11) with four hours of compelling content per day and your choice of three regional start times to maximize convenience. Watch 150+ live and on-demand streaming talks by the best speakers in the industry and interaction through Q&A Connect with thousands of attendees, exhibitors, and speakers in real time, with private chats Visit online exhibits and the “Ansys Experience Zone” to see the latest demos and simulation innovations Join impromptu ‘hallway’ conversations in the lounge and pre-scheduled group meetings Six-month EXCLUSIVE on-demand access to all session videos following the online event Session Times Please see our agenda-at-a-glance for presentation times. Attendees will have access to build their own agendas within the virtual event beginning the morning of June 10th AMERICAS EUROPE ASIA PACIFIC Mark your Calendar – Your choice of three regional start times: EUROPE / INDIA London, UK BST (GMT +1) 9:00 am Istanbul, Turkey TRT (GMT +3) 11:00 am Pune, India IST (GMT +5:30) 1:30 pm Add to Calendar AMERICAS San Francisco, CA PDT (GMT -7) 9:30 am New York, NY EDT (GMT -4) 12:30 pm Sao Paulo, Brazil BRT (GMT -3) 1:30 pm Add to Calendar ASIA PACIFIC Beijing, China CST (UTC +8) 9:00 am Tokyo, Japan JST (UTC +9) 10:00 am Sydney, Australia AEST (UT +10) 11:00 am Add to Calendar Invite a Friend Clear Selections Session Type: Keynotes--> Executive Keynote Presentations Panel Presentations Fireside Chat Meetups--> Hot Topics: ADAS & Autonomy Electrification 5G Digital Twin / IIoT Electromagnetics/HFSS Digital Transformation Industry: Automotive Consumer Goods Energy Federal Aerospace & Defense Semiconductor Healthcare High Tech Industrial AGENDA Day 1 - June 10th Day 2 - June 11th --> Engineering What's Ahead Presented By:   Session Time APAC 9:00 - 9:20 AM (GMT +8) Add to Calendar EUROPE 9:00 - 9:20 AM (GMT +1) Add to Calendar AMERICAS 12:30 - 12:50 PM (GMT -4) Add to Calendar --> Read Abstract Multiphysics simulation gives organizations nearly superhuman abilities to understand how their products are working – and how to improve them. This keynote presentation highlights several real-world stories of companies using simulation to not only change the way their products are development, but to transform the way they do business. ENGINEERING SIMULATION – Still much to offer, huge potential to discover Presented By:     Session Time EUROPE 9:20 - 9:35 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract The evolution of the simulation in Ferrari in the last two decades, the present status – the level reached and how could be or must be. The evolution of the simulation in the future to cope with the challenge Ferrari has to face. Microsoft’s Partner Strategy: Ubiquitous Cloud, Digital Twins, Autonomous Vehicles and more Presented By:   Read Abstract The world was already changing at a breathtaking pace, and the global pandemic has only accelerated digital transformation trends that were starting to ramp up. Microsoft’s CVP of Cloud and AI, Uli Homann, will have a discussion with Matt Zack, Ansys VP of Business Development, about Microsoft’s approach to meeting the world’s needs during this crisis and how they are building the framework that will enable a faster recovery for everybody. Uli and Matt will discuss how supporting a vibrant partner ecosystem is important to Microsoft and leads to exciting joint technology developments such as fully cloud-enabled simulation, physics-based digital twins, and advances in virtual testing for autonomous vehicles.  Pikes Peak, Nürburgring-Nordschleife, Goodwood, Tianmen Mountain – the fully electric Volkswagen ID.R has made his mark in the history books of Motorsport Presented By:   Session Time EUROPE 9:35 - 9:50 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract On 24 June 2018, just 250 days after the project started, the ID.R completed the route up to the famous Pikes Peak in a time of 7:57.148 minutes. In doing so, he smashed the previous record by more than 16 seconds. This success of innovative technology was only made possible by fast and courageous decisions and exceptional engineering methods – including Ansys´ simulation services which played a key role in the thermal management of the battery system. In 2019 the success story continued: In a time of 6:05.336 minutes, the further developed ID.R set the fastest lap by an electric race car on the Nürburgring-Nordschleife. Just four weeks later, the ID.R broke the 20-year-old Formula 1 record on the Goodwood Hillclimb at the Festival of Speed in a time of 39.90 seconds. The ID.R was once again optimized: improvements to the battery management and the downsizing of the lithium-ion batteries lead to increased efficiency and reduced weight. In September 2019 the ID.R embarked on a voyage to China to conquer the world-famous road at the Tianmen Mountain. The 10.906-kilometre road climbs roughly 1,100 metres via 99 hairpin bends – and in the hands of French motorsport ace Romain Dumas, the ID.R completed the road in 7:38.585 minutes to set the first official record. In his keynote Volkswagen Motorsport Director Sven Smeets will give a deep and personal insight into the ID.R´s unique success story, the crucial role of Ansys as a technical partner and the influence of Motorsport for road car development. Digitizing the 21st Century Oil and Gas Industry: Transformation of the Value Chain from the Reservoir to the Commercial Use to the Climate’s Remediation Presented By:   Session Time AMERICAS 1:05 - 1:20 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Digitization of the Oil and Gas industry is ongoing in segments. What has yet to happen, but will occur with increasing momentum, is the industry’s total transformation utilizing the tools of intelligence, software, technology and innovation to fully rationalize and integrate the segments within companies, from the operating units to the enterprise, to achieve breakthroughs only heretofore imagined. Such transformation includes the following: optimizing information, simplifying complexity, accelerating outcomes, delivering cross-organization operational efficiency, increasing productivity and output while reducing costs, re-imagining waste management, combating global warming, advancing technical frontiers and maximizing human capacity. Looking back from 2050 the industry will be recognizable for its continuous realization of the benefits of technology across the operations and functions applied to its ever-improving business model and its sustainable future. Convergence of massive data and compute Presented By:   Session Time APAC 9:15 – 9:30 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract Traditionally, there has been a division of labor between computers and humans where all forms of number crunching and bit manipulations are left to computers; whereas, intelligent decision-making is left to us humans. We are now at the cusp of a major transformation that can disrupt this balance. Primary trigger for this comes from availability of massive data and compute, coupled with algorithmic advancement in reverse engineering good enough data-driven models for complex engineering and decision-making problems. Often these models are highly approximate, yet good enough proxy for what has traditionally taken us a long time to compute through traditional first-principle simulations. This talk aims to highlight opportunities ahead of us for enabling a new class of such applications and services, and their system level implications. Affordable Healthcare through Digital Innovation Presented By:   Session Time EUROPE 9:50 – 10:05 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract GE Healthcare has been working on enabling affordable healthcare through multiple products specifically designed targeting affordability, apart from quality and reach. This means we adopt to most modern technology practices including using simulations in product design cycle as against traditional way of build-test as one example. Most devices being used in critical care settings, requires high availability and reliability. Apart from this, usability is another important aspect considering staff burnout as another major challenge. In this session we cover how our approach of leveraging simulation and analytics helps build robust products by picking an example requirement around user experience. This approach also enables Digital Twin. Another important aspect in care delivery is digitised surveillance and workflow digitization and monitoring, all these generate lot of data and also new possibilities. This talk will cover the journey, challenges in data and how we convert them into actionable insights using our Edison platform with an example virtual care solution application MURAL. Porsche AG: Formula E, More Than a Tech Lab Presented By:   Session Time EUROPE 10:05 – 10:20 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Importance of e-mobility for Porsche - Meaning of Formula E to Porsche - The role of simulation in R&D for the 99X Electric power train - Technology transfer from motorsport to series type cars - more than just a quote at Porsche COVID-19 and Me: How the Global Pandemic Changed the Way we Work Forever Presented By: Jacqueline de Rojas, President, techUK, President at digileaders, Co-Chair at Institute of Coding Rachel Neaman, Technology Leader, Non-Executive Director, Leadership Mentor and Coach, Neaman Consulting Kay Oswald, President of International, SmileDirectClub   Session Time EUROPE 10:20 – 10:50 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Business leaders from across industry sectors share the changes they have had to make to survive the corona virus lock down, and what new digital practices they will be keeping in place when social distancing is no longer a necessity. Multiphysics Simulation Presented By:   Session Time AMERICAS 1:20 – 1:35 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract From fundamental science, Multiphysics simulation to fluids mechanics, Ansys enables Baker Hughes to deliver breakthrough technologies, products and processes to transform the energy industry. Accelerating the Autonomous Vehicle Revolution with A 100+ year History of Innovation Presented By:   Session Time AMERICAS 1:50 – 2:05 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract There is a fundamental connection between innovations on the racetrack and real-world improvements on the highway. With the advent of autonomous vehicles Indianapolis Motor Speedway (IMS) continues to embrace its 100+ years historic role as a catalyst for the next generation of vehicle technologies by launching the Indy Autonomous Challenge (IAC). The IAC that builds upon the DARPA Grand Challenges of 2004-05 that helped create the modern autonomous vehicle industry, is a $1.5 million prize competition among 37 universities from around the world who will compete in the world’s first head-to-head highspeed race of autonomous vehicles around the oval of the famed Indianapolis Motor Speedway. The talk will review how the IAC can advance technology that can speed the commercialization of fully autonomous vehicles and deployments of advanced driver-assistance systems (ADAS). When Life Gives you Lemons: Digital Transformation in a Post-COVID-19 World Presented By:   Session Time EUROPE 11:35 – 11:50 PM (GMT +1) Add to Calendar On Demand Register --> Read Abstract As the world recovers from the devastating economic and cultural impact of social distancing measures, Kate Russell proposes a fresh view of the business landscape ahead. A technology reporter and digital transformation evangelist for 25 years, Kate shares the unique opportunity she sees rising from the ashes of global disaster, and how we can use what we have learned to take a huge leap forward for true digital transformation. Ansys Autonomy: An Introduction Presented By:   Session Time On Demand Register --> Read Abstract Full abstract coming soon... A Simulation Tool Chain for Verification and Validation of L3 and Higher Level Autonomous Vehicles Presented By:   Session Time EUROPE 10:50 – 11:05 PM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Autonomous vehicle developers realize that moving from L2 to L3-L4 requires a technological quantum leap. Ensuring safety of automated driving systems is of paramount importance, as is achieving fastest time-to-market in this disruptive industry. Simulation is a known accelerator of product innovation and indispensable in the development of autonomous vehicles. BMW and Ansys are collaborating on joint development of a simulation tool chain for virtually testing and validating automated driving systems. The simulation tool chain will support BMW’s autonomous engineering efforts in areas including drive analytics, scenario creation and variation, closed-loop simulation, result analytics, tool chain validation and data lineage. Thermal Cameras for Safer Cars Presented By:   Session Time AMERICAS 2:20 – 2:35 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Full abstract coming soon... Azure for Autonomous Vehicle Development Presented By:   Session Time APAC 9:50 – 10:05 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract Microsoft’s approach and offerings for Autonomous Vehicle solutions designed on Azure to accelerate development, validation, compliance and productization of highly automated and self-driving solutions that improve safety and meet consumers' evolving expectations. Enable industry leading partners like Ansys to provide critical workloads such as simulation on top of our global, secure, hyper-scale and best in class autonomous development platform for our customers. From POC to Production: Functional Safety Considerations for Your Embedded Software Presented By:   Session Time EUROPE 11:35 – 11:50 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract You’ve finally finished your proof of concept (PoC) system. Now you face the even harder task of taking your concept into production. This session will look at functional safety considerations and how to streamline your certification processes to get your PoC into production more efficiently. We will discuss how software safety constructs such as separation and isolation, freedom from interference, safe communications and safe algorithm development can be achieved with the right combination of operating system and tools. We’ll also explore a case study in which this was achieved in an active automotive safety system. Autonomous Safety in Sight Presented By:   Session Time APAC 9:30 – 9:50 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract This presentation will provide an overview of key ideas and practical application of 4600 for self-driving cars. It will showcase the key principles for building a safety case and applying this standard, including the scope, from fault models to safety culture. It will also discuss how the 4600 approach complements other safety standards and how metrics and feedback loops tie everything together. Lastly, find out how to join the community already contributing to the next version! 2020 State of Automated Driving Presented By:   Session Time AMERICAS 2:05 – 2:20 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The primary engineering challenge in developing ADAS and Autonomous Vehicles is ensuring that they will operate safely under all situations encountered. Since they are likely to encounter many millions of different driving situations through out the course of their operation, engineering of ADAS and AVs must comprehensively address the design and validation of their software and hardware components over millions of driving scenarios. This is a massive task involving thousands of engineers working collaboratively at OEMs as well as Tier 1 and 2 suppliers. Ansys Autonomy is a comprehensive tool chain that provides tools and infrastructure for expediting the design and validation of all aspects of an automated driving system including software - perception, localization, planning, controls, automated driving features, supplemental software and integration software - as well as hardware - sensors, electronics, human-machine-interfaces, and vehicle aspects. Ansys Autonomy provides extensive capabilities for software-in-loop simulation, hardware-in-loop simulation, driver-in-loop simulation, scenario definition and massive parametric variation, test planning, data analytics, coverage analysis, model based software development with certified auto-code generation, high-fidelity physics based simulation of radar, lidar, camera and other sensors, and functional safety, SOTIF and cybersecurity analysis. This talk will present aspects of Ansys Autonomy along with specific case studies. Towards Homologation of Sensors, Sensor Fusion and Automated Driving Function: The Role of High Fidelity Environment Modeling Presented By:   Session Time EUROPE 11:20 – 11:35 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Advanced driver assistance systems (ADAS), Highly Automated Driving Functions (HAD) and Autonomous Driving (AD) provide among comfort to the driver also a great potential for future mobility and tends to increase traffic and car safety. All ADAS, HAD and AD functions and especially those associated with high safety levels, require paradigm-changing approaches for the homologation: some ADAS and AD functions require up to about 200 million km of real drive testing for the qualification. This amount of real drive testing is not feasible for any OEM and therefore there is a strong need for a mixed test strategy where the performed real drive tests take credit from a virtual campaign evaluation. Such a combined real and virtual test strategy could reduce the necessary efforts for the qualification of a given function development and its validation. To support virtual testing, the triangle of the driver, the vehicle and the environment has to be modeled for simulation. The interface between the vehicle and the environment, i.e. a sensor that is a device to transform physical information into electrical signals, is of crucial importance for the ADAS, HAD and AD function, because it replaces step by step the perception of the driver in the car. This presentation gives a survey about the challenges of the modeling of sensors and their interaction with the fusion strategy and the automated driving functions and the crucial role of high fidelity environment models in order to get confidence in the simulations as a part for the homologation. The presentations lists also first insights in results of the environment modeling of the city of Kempten / Allgäu The Role of Simulation in Digital Transformation Presented By:   Session Time On Demand Register --> Read Abstract Digital Transformation has already played a critical role in reducing cost, accelerating time to market, and improving product quality. However, Digital Transformation has the potential to unlock trillions of dollars across all industries and simulation, as there is an even larger opportunity ahead as simulation finds its way from the traditional analysis phase, to be used pervasively across the product lifecycle. This talk will give an overview of the opportunities and set the stage for the Digital Transformation track at Simulation World Advanced Simulation in Process Industry Presented By:   Session Time AMERICAS 2:20 – 2:35 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Advanced simulation techniques have gained wide acceptance by the process industry, particularly in oil & gas sector, power plants, petrochemical plants and fertilizer units. Simulation is being used to improve the existing designs to achieve higher efficiency, for troubleshooting, for visualization of flow in equipment and for minimising the experimentation cycle and Time-to-Market (TTM) for new products - enabling faster delivery. L&T Heavy Engineering manufactures and supplies custom designed critical equipment & piping to process industries. L&T extensively uses advanced simulation techniques viz. Computational Fluid Dynamics (CFD), Structural Stress Evaluation (FEA) & Piping Stress analysis in the design and manufacture of equipment. Flows found in process industries are predominantly multi-phase flows where the flowing material is composed of two or more distinct phases, which may be either fluid or solid. Compared to single phase flows of liquids and gases, understanding the behavior of multi-phase flows is considerably more difficult and is very critical from equipment & piping design point of view. CFD analysis plays a vital role in developing this understanding. Examples of equipment handling multi-phase flows where CFD analysis has been used are Waste Heat Boilers, kettle type reboilers, nuclear steam generators, power plant condensers and Reactors & Regenerators in Fluidized Catalytic Cracking Units. FEA of various process equipment components are majorly performed in line with ASME design by analysis method. Analysis are performed to evaluate stress in complex components like large tubesheets, local load evaluation for nozzle to shell junctions etc. Non-linearity in material & large size adds to the complexity. Fatigue analysis, fracture & buckling analysis have become routine practices. Fluid-Structure Interaction and Flow Induced Vibration analysis are mandatory part of design these days. Lately, advanced simulation techniques are also used during manufacturing for increasing the efficiency of production and for achieving First-Time-Right. Simulation of forming process helps in optimizing the manufacturing sequence resulting in higher productivity. Material Data Management in a Digital Environment Presented By:   Session Time AMERICAS 2:05 – 2:20 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Digital material data management can dramatically help the development of more reliable design and manufacturing processes. Engineering and Digital Development through Demanding Times Presented By:   Session Time EUROPE 11:15 – 11:30 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Lennox as a manufacturer of high-end airconditioning and refrigeration products, are experts at adding value and comfort to everyone’s life through several products. Whilst, our focus through the years has been aimed at innovation in launching state of the art product lines coupled with strong material cost reduction programs, we have survived many tough times in the recent past. While uncertainty prevails in the market even now, during these tough times, we as a strong technology driven organization, we are prepared in tackling the unknown more stronget than ever. Started very early, on the digital transformation through various global partnerships, we are prepared for the new demand for harder virtual collaboration and new ways of product development. With increase in constraints on physical testing based validation, Ansys based tools help us drive our virual prototyping approaches accelerate faster. The focus of this presentation is to cover some of the exigent situations we faced in the recent times and to touch a few real-time examples of accelerated product development with the aid of Ansys tools and partnership. How Companies Drive Democratization of Simulation with Discovery Live Presented By:   Session Time EUROPE 10:50 – 11:15 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Companies today understand the value of simulation. The next step is to multiply that value by means of democratization. Some are already on that track some start their journey these days. It is very informative to gain insights what a company like Endress and Hauser has achieved over the last years and what kind of setting maximizes the value for them. This includes the user support as well as the implementation of the best fitting simulation technology at different user groups. All of that follows a global simulation strategy. The COVID Factor: Prospects for Autonomous Cars Presented By:   Session Time AMERICAS 2:35 – 2:50 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The COVID Factor: Prospects for Autonomous Cars US Air Force Digital Campaign Presented By:     Session Time AMERICAS 2:35 – 2:50 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract An AFMC (+SMC) coordinated effort to move activities of our enterprise to modern digital capabilities and processes. Defined by six (6) lines of effort: integrated IT infrastructure; integrated models and tools; standards, data and architectures; lifecycle strategies and processes; policy and guidance; and workforce and culture. The desired end state is a collaborative integrated digital environment which guides, orchestrates, and delivers the means for each individual across the AFMC enterprise to access the data, functions and elements needed to do a his/her job in a purely digital manner--all functions, not just engineering. Simulation Verification of Automotive Millimeter Wave Radar Presented By: Mingliang Gao, Pre-research Director, Radar system Engineer and Senior RF expert, Beijing Autoroad Technology Co., Ltd.   Session Time APAC 9:45 – 10:00 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract 1. What are the breakthrough technologies of second-generation 77GHz mid-range radar 2. The road to product verification and mass production 3. AEB's demands for radar and test data 4. Integration of SAR and FMCW technologies Virtual Simulations Lead to Real Victories in Elite Cycling Presented By:   Session Time EUROPE 11:30 – 11:45 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Computer simulation, carefully validated with wind tunnel testing, is a main contributor towards fair play and prestigious victories in elite cycling. Simulation allows us to visualize airflows and aerodynamic effects that are in reality are invisible. Sometimes the results of those simulations confirm common sense, sometimes they confirm intuition or negate intuition, sometimes they reveal previously unknown and also unexpected effects and cause a shock in the field. In this presentation, we will present some examples in each category. We will also demonstrate how simulation has contributed to some remarkable achievements in elite cycling in the past year. Simulation-Based Digital Twin with Ansys Twin Builder Presented By:   Session Time On Demand Register --> Read Abstract Predictive and prescriptive maintenance are key promises of the Internet of Things. Simulation-Based Digital Twins are critically important to making this promise a reality. Simulation-based digital twins are helping companies better analyze machines in real-world operating conditions, allowing them to make informed decisions, improving their performance far above what is possible today. In this talk, we will show how ANSYS Twin Builder, in combination with popular out partners help our customers to quickly realize the promise of predictive and prescriptive maintenance. Improve time to market through enhanced virtual Commissioning with Rockwell Automation and Ansys Presented By:   Session Time AMERICAS 2:20 – 2:35 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Learn how ANSYS can help bring higher levels of fidelity when virtual commissioning industrial assets using Rockwell Automation Emulate 3D. Discover how automation project risk and time-to-market can be reduced through the ANSYS & Rockwell Automation Partnership Detailed 3D simulations to enable digital twin development and validation Presented By:   Session Time EUROPE 11:05 – 11:20 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract GDTech is an engineering service company that is partner of Ansys for the modelling, simulation et validation of Digital Twins to be developed in Ansys Twin Builder. GDTech has a long experience in detailed multi-physics simulation, such as structural mechanics, CFD, EMAG, acoustics, as well as Model Based System Engineering. This is the reason why GDTech has identified Ansys Twin Builder as the ideal environment where all our competences can converge and will provide maximum value to customers, helping them to develop their digital twins; furthermore, model reduction techniques are also one of our field of expertise. This presentation will illustrate GDTech background in CFD simulation with Fluent, in fast transient dynamics with LS-Dyna, and model reduction techniques in structural mechanics, including DOE and optimization capabilities, which are relevant for the construction of Digital Twins. Digital Twin for high-voltage electric motors, coupled rotor-dynamics & electro-mechanics system simulation Presented By: Philipp Rauh (Siemens) & Johannes Einzinger (ANSYS), Simulation Engineer & Lead Application Engineer, Siemens Large Drive Applications & ANSYS Germany   Session Time EUROPE 10:50 – 11:05 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract All over the world, scientist and engineers are searching for ways to shape the future. Digital transformation is one major aspect. Connected devices will communicate and interact with each other. In order to achieve this, the physical and functional properties of devices must be known. Behavioral models of devices (“digital twins”), are essential to provide this information. Siemens and Ansys are working on a technology and complete workflow to generate such twins of devices to simulate and predict their behavior. The foundation is state space models (CMS) for each part, generated independently and finally assembled on system level. A CMS analysis is performed on each part, and related sub space matrices for mass, damping, gyroscopic and stiffness, are extracted and arranged in state space representation, including parameter dependencies like rotation speed required for rotor dynamics. State space formulations for each component are combined in a system simulation. Each component “digital twin” can be coupled with other twins, and further elements like boundary conditions defined. This enables designers and engineers to describe the interaction of all components in different physics domains, ultimately modeling a whole plant application to simulate and predict its behavior on certain excitations or loads, in its real operating environment. The holistic approach allows to solve with required accuracy – close to full FEA – in seconds instead of hours. Siemens LDA is expecting significant value add by this novel “numerical twin” technology. Finally, the assembled components, the twin and environment are transferred to an encapsulated *.twin file, representing the whole application. Utilizing an API to generate the runtime, this *.twin file is implemented in Siemens IIoT cloud for HV motors, SiDrive IQ, and consuming time series data of its real-world twin for predicting its behavior. Extending Azure Digital Twins with Ansys Twin Builder Presented By:   Session Time APAC 9:30 – 9:45 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract Basak will present how Ansys Twin Builder and Azure Digital Twins teams collaborated to extend Azure Digital Twins platform with Ansys Twin Builder; integrating simulation based digital twins with IoT data. The session will cover industry use cases as well as the reference solution architecture.  Leveraging a transformative Digital Twin Ecosystem to Improve Product Operations Presented By: Eric Bantegnie, VP and GM, S&PBU, Ansys Sam George, CVP of Azure IoT, Microsoft Vatsan Govindrajan, Global Head of PLM and Engineering, SAP Tom O’Reilly, VP, Global Business Development, Rockwell Automation Steve Dertien, CTO, PTC Kenneth Wong, Digital Engineering (Moderator)   Session Time AMERICAS 2:35 – 3:05 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Predictive and preventive maintenance are a key promise of Digital Twins. Challenges to adoption relate to the heterogeneity of the various systems involved. By building a strong partner ecosystem, Ansys is easing our customers' journey to value. In this panel, the panelists will outline their Digital Twin capabilities, why they chose to partner with Ansys and share some successful outcomes through customer examples. Enhance Monitoring & Service Applications with Digital Twin Simulation Presented By:   Session Time AMERICAS 3:05 – 3:20 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Industrial companies are feeling more pressure than ever before to deliver results and react to constantly changing market landscapes. Competitive and disruptive threats are reshaping product and service expectations to demand higher quality, lower costs and greater flexibility. With service revenues often growing faster than new product sales and new types of business models for service emerging, innovations in service operations are required. To address these business challenges, companies are applying technology and creating digital twins to enable remote monitoring, improved diagnostics and predictive maintenance applications. In this session, we will discuss how digital simulation models can enhance digital twin applications to optimize service operations. The Digital Twin Consortium Presented By:   Session Time AMERICAS 3:20 – 3:35 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The Digital Twin Consortium is forming with the objective of influencing the direction of digital twin technology development, driving best practices for digital twin usage and defining requirements for new digital twin interoperability and portability standards, especially in markets that underuse the technology and across vertical markets. As one of four founding members, Ansys is playing a key role. This talk will provide an overview of the consortium and our goals, with a focus on the central role that simulation has to play towards the success of Digital Twins. Integration of simulation-based digital twins across design-to-operate businesses processes from SAP Presented By:   Session Time AMERICAS 2:05 – 2:20 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The session will explain how product-centric companies in discrete industries can create digital products through IoT-enabled digital twins from ANSYS. Examples will include closed-loop engineering scenarios to showcase SAP’s integration excellence across the design-to-operate value chain. Four Pillars of Electrification Presented By:   Session Time On Demand Register --> Read Abstract Electrification will drive future mobility and providers are pivoting to invest heavily in electric vehicles (EVs). The race is on to capture market share. Manufacturers must totally re-engineer their vehicles to satisfy driving range and battery life, safety, and cost, requiring an unprecedented amount of innovation in a short time. Only simulation enables you to accelerate EV development and win the race to market. In this talk, we will show how engineers design each for the four ‘pillars’ of electrification: battery, power electronics, electric motors, and electric powertrain integration. Batteries need to be designed at the electrochemical level, and integrated battery pack thermal-mechanical considerations must be accounted for to ensure reliability and safety. Power from the battery must be managed by power-control circuitry and then be distributed via busbars and wiring harnesses that do not radiate electrical noise. Electric machine design centers around efficiency, quiet operation, and thermal reliability across a range of speed and loading conditions. Finally, full system integration of the electric powertrain must be achieved with system-level analysis with the embedded controller software and the vehicle. Industry examples will be highlighted that show how high-performance computing (HPC) can be leveraged to fully explore designs, how system simulation linked to 3D electromagnetic simulation can optimize the drive and machine, and how companies combine product simulation with hardware emulation to build drive systems before any prototypes have been built. Aerospace Platform Electromagnetic Environmental Effects Virtual Test Environment Presented By:     Session Time AMERICAS 2:25 – 2:45 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Aerospace Platform Electromagnetic Environmental Effects Virtual Test Environment A representative electromagnetic (EM) model of an aerospace platform is essential for effective system design and analysis. Effective models of systems aid in robust design for electromagnetic compatibility (EMC) to real world environments. Testing on individual boxes is typically performed during the development stages. However testing of the integrated system, ex. entire vehicle, occurs late in the program, at a time when major changes in design are costly to schedule and budget. Simulation allows for end to end designs to be assessed earlier in the design processes. This ensure confidence in the system-level compatibility in a development or sustainment program. The following discussion describes the steps to build a system level virtual test environment to support lightning, EMC, radio frequency interference (RFI), and electromagnetic environmental effects (E3) design and verification. This workflow and process is demonstrated using the electromagnetic simulation environment of ANSYS EMA3D Cable. The main topics include: -Virtual Electromagnetic Testing Fundamentals -Capturing Platform Details and Configuration Control -Cable Modeling and Thin Material Properties -Interpreting Results and Optimizing the Design -Validation How Continental Automotive is integrating Ansys Sherlock software into their Design Process Presented By:   Session Time EUROPE 11:30 – 11:50 PM (GMT +1) Add to Calendar On Demand Register --> Read Abstract The use of electronics is ever increasing in automotive applications. New innovations such as active and passive safety systems, electric propulsion, and semi and fully autonomous vehicles have all contributed to this increase. Automotive designers, however, must still adhere to the size and packaging constraints to ensure vehicle size and weight does not increase. Because of this, there has been a push to make electronic components and packages smaller, while increasing performance. One example of a company facing these demands is Continental Automotive, who designs and manufactures printed circuit board assemblies (PCBAs) for automotive electrification and autonomous vehicle applications. They have seen increased use of ball grid array (BGA) components and High-Density Interconnect (HDI) FR4 boards in their PCBAs, where components are tightly placed on both sides of the PCB to ensure the most efficient use of the board space. For a company manufacturing PCBAs required to perform in various extreme field conditions, it is critically important to ensure reliability by understanding how different designs can affect solder fatigue. Each variable must be tested to determine what influence it has on solder fatigue and thus reliability of the board. Continental has been using ANSYS Sherlock, Icepak, and Workbench to predict solder fatigue due to system-level effects such as thermomechanical, shock, and vibration influences early in the design process. An Electro-thermal Coupled Model for a 48V Li-on Battery Pack Using Reduced Order Thermal Model Presented By:   Session Time APAC 9:50 – 10:10 AM (GMT +8) Add to Calendar AMERICAS 2:05 – 2:25 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract In this presentation, an electro-thermal coupled battery model for an A123 liquid-cooled 48V Li-on battery pack is developed. The electrical part in the coupled model uses the equivalent circuit model (ECM) approach due to its speed and accuracy. The thermal part in the coupled model uses the reduced order model (ROM) approach. Compared with the common thermal network approach, the ROM approach demonstrates higher level accuracy and convenience. The coupled model, as part of BMS, is then simulated in Matlab Simulink. The capability of the coupled model on developing derate function in battery state of power (SoP) algorithm is demonstrated. Simulation results show that current derate caused by battery overheating is accurately captured under a dynamic drive cycle current profile. Such a ROM based electro-thermal coupled model proves to be a powerful tool for BMS development. Simulations for EMC concept of On Board Battery Chargers Presented By:   Session Time APAC 9:30 – 9:50 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract The work is based on Metasystem approach in the e mobility industry for the development, design and optimization of On-board battery chargers (OBCs) for Battery Electric Vehicles (BEV) and Plug-In Hybrid Electric Vehicles (PHEV), with a particular attention on the fulfilment of the Electromagnetic Compatibility (EMC) performances. Car-makers are pushing towards extreme and challenging production lead times, so it is often mandatory that early prototypes behave similarly to the final product sold with the car. In order to fulfill Electromagnetic EMC requirements, simulations can help the EMC design engineer to speed-up the optimization phase by limiting the number of time consuming tests in anechoic chambers. Our work shows how is possible to use the Ansys Electronics suite, mainly Ansys Circuit, Ansys Maxwell and Ansys SIwave for EMC purposes, applied to a three-phase 22kW – 800V battery charger, with a power density of about 2.5kW/l, suitable for high-end cars. Use of AI for Optimization of Induction Machines designed using Ansys Maxwell Presented By:   Session Time EUROPE 11:10 – 11:30 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract In the coming years, the EVs are poised to take off in a big way. One of the major challenges to address is to develop an EV technology that is less reliant on imports. In this direction, we at e-mobility lab, IITG, have been working towards advance induction machines, instead of PM motors, for use in EVs. To aid and reduce the time to design and optimization of these machines the lab uses AI and Ansys. In this talk, we will be presenting the core ideas of how this is done and the benefits that one can get. Cable Emissions/Immunity Analysis for Automotive Applications Presented By:   Session Time EUROPE 10:50 – 11:10 PM (GMT +1) Add to Calendar On Demand Register --> Read Abstract In the automotive industry there are certain problems that tend to be discovered during testing, either of components or at the vehicle level, driving late changes and added cost. This presentation aims to illustrate simulation methods that can identify these problems and solutions much earlier in the design process, saving many hours of time and thousands of dollars of cost. In particular this presentation will focus on simulating cable harnesses and antennas. Among the examples discussed will include: the impact of radiated immunity testing on poorly twisted cables (as per ISO 11451-1 and ISO 11451-2); the emissions from high voltage cables that might impact the vehicle’s on board antennas (as per CISPR 25); and analysis of co-located antennas supporting different transmit and receive functions (e.g. Bluetooth and over the air communications). Together these cases will illustrate a broad capability to use simulation to achieve overall EMC compliance on even the most complicated vehicle architectures. Progress of e-Motors and Power Electronics Technology in Automotive Electrification Presented By:   Session Time APAC 10:10 – 10:30 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Full abstract coming soon... Multiphysics electric motor models for system engineering using Ansys Motor-CAD and a standardised FMU interface Presented By: .   Session Time On Demand Register --> Read Abstract In the rapidly developing world of electrification, increasingly, components need to be designed and optimised a part of the wider system. This challenge requires component level models to be shared and integrated, often across departments or even different organisations. This session will look at how advanced multi-physics motor models can be used in a system simulation to analyse the interaction between components and assess overall system level behaviour. The various techniques available in Motor-CAD for exporting and co-simulating different electromagnetic, control, loss and thermal models are discussed. It is shown how new capability in Motor-CAD enables a standardised FMU interface to be used to effectively share and co-simulate accurate and fast solving Motor-CAD Multiphysics models into a TwinBuilder or Simulink environment. Ansys Electric Machine Design and Analysis Simulation Platform Presented By:   Session Time On Demand Register --> Read Abstract As part of industry’s Electrification initiatives, Ansys provides a comprehensive design and analysis simulation platform for electric machines. This enables engineering teams to take their customer’s requirements and simulate concepts and designs that reduce the build and test cycle, and reduces time to market. Consideration of magnetic, thermal, stress, and NVH performance early in the design cycle allows increases in performance and reduction in cost. A Review of HPC Technologies in Ansys HFSS Presented By:   Session Time On Demand Register --> Read Abstract Along with accuracy and reliability of results, speed of simulation is of primary importance to all users of HFSS. To deliver faster simulations HFSS is constantly being improved for faster simulation speeds including enhancements that leverage multiple compute cores and nodes. In 1999 the HFSS team first introduced multi-core matrix solving and from that point forward has implemented various HPC technologies, leveraging both shared and distributed compute resources, to increase the speed and scalability of HFSS simulations. This presentation will review the HPC technologies available in HFSS including techniques such as matrix multi-processing, for both shared and distributed memory, and parallel frequency points for rapid extraction of SYZ parameter models. It will then discuss the ground-breaking domain decomposition method (DDM) introduced over ten years ago in HFSS v12 which enabled HFSS simulations to scale up by orders of magnitude. The presentation follows DDM’s evolution starting with the hybrid FEM-MoM FEBI boundary condition onto true 3D multi-domain FEM-MoM allowing analysis of extremely large-scale systems such as antenna integration on platform and on through DDM’s most recent enhancement for modeling large antenna arrays like those being implemented for 5G mmWave applications. Wrapping up, it will discuss simulating design points in parallel along with multi-level HPC that leverages in one simulation the full panoply of the HFSS HPC technologies. Finally, it will conclude with an overview of the recent enablement of HFSS on Ansys Cloud. Overview of Ansys HFSS Solver Technology Presented By:   Session Time On Demand Register --> Read Abstract Ansys HFSS solvers have been developed and fine tuned over the last 30 years. Many think of HFSS as only the Finite Element Method (FEM) but in reality we offer a number of complimentary techniques such as Integral Equations (IE), Shooting Bouncing Rays (SBR, and Transient DGTD. The robustness of its FEM solver is unquestioned in industry and has earned it the gold standard reputation for accuracy. In addition, the solver engine has been optimized for speed and capacity using several techniques that include a Distributed Matrix Solver. The most dramatic performance impact comes from is its well-known automatic adaptive meshing technology typically attributed to its gold standard accuracy. The goal of adaptive meshing is to provide an accurate mesh with minimum number of mesh elements that can be solved much faster than a uniform mesh which is dense everywhere. HFSS adaptive meshing technology has been verified by its large user base ever since its first release in 1990. Another less known key HFSS solver technology is its use of transfinite elements which strongly contribute to its highly accurate S-parameter extractions while enabling faster simulations. A more recent exploitation of the transfinite element method in HFSS has made it possible to solve S-parameters faster and with much less memory when fields are not required. During this presentation we will discuss some of the HFSS FEM foundational technologies along with a broad overview of the various HFSS solver offerings such as the transient and SBR+ solvers. In addition, we will highlight the solver enhancements in HPC over the last 10+ years. The HPC offerings makes it possible to solve huge problems very efficiently by taking advantage of distributed computing with access to 1000s of cores and many TBs of memory. Best practices for maximizing HFSS performance during Package, PCB and Connector simulations Presented By:   Session Time On Demand Register --> Read Abstract Higher speeds, denser layouts, and tighter design constraints demand usage of full-wave 3D electromagnetic field solvers for complex ECAD (electrical CAD) and MCAD (mechanical CAD) designs. With recent advancements in usability, solver technology, and high-performance compute (HPC) engineers can easily exploit HFSS’ speed and capacity to ensure signal and power-integrity constraints within their designs are met. Attend the first presentation in this track to see just how easy it is to setup and solve complex package, PCB, and connector designs within HFSS. In this presentation you will see how engineers can use HFSS to design high-speed signal lines along with the power delivery network for a full package design. We will demonstrate HFSS’ speed and capacity by modeling the signal integrity of an entire PC system that consists of 8 IC packages mounted on a DIMM card that is connected to a motherboard. Visualize currents flowing from the package through the board and the connector revealing design flaws using full fidelity and coupled electromagnetics. Come be amazed at what can be accomplished for these large layouts in full 3D HFSS! Learn about new HFSS simulation technologies that solve complex IC layout designs in hours versus days! Presented By:   Session Time On Demand Register --> Read Abstract For the second presentation in this track, we will focus on the smaller, more complex world of integrated circuit (IC) design. Higher data rates combined with low supply voltage present new signal integrity (SI) and power integrity (PI) challenges, such as the design of 3D interposers with through-silicon vias (TSVs). Ansys offers two workflows for fast 3D HFSS extraction to ensure SI and PI in complex IC design: 1) ECADXplorer designed for typical electromagnetics engineers comfortable working in the Electronics Desktop environment and 2) the newly introduced RaptorH product, for RFIC designers who are experienced working in IC layout environments. GDSII is the industry standard file format for IC layouts and file sizes are growing as more detail is packed into smaller footprints. As the first step to extraction is translation of these GDSII files, Ansys has introduced ECADXplorer to facilitate the import and simplification of these complex GDSII-based designs for fast 3D HFSS extraction. Attend this presentation to learn about new tools and workflows that make 3D HFSS extraction of complex IC-based designs simple, fast and accurate. Not Your Dad’s Power Integrity Analysis Presented By:   Session Time On Demand Register --> Read Abstract Advanced FinFET process technologies make possible ultra-low supply voltages and very high switching speeds. But for these very big, low-power designs to work reliably in the presence of thermal hotspots and highly variable switching activities requires careful attention to the design of the power distribution network - and there is no longer margin for over-design. As the technical constraints become more acute, the designs are also becoming very much larger with tens of billions of electrical nodes in a power supply network. RedHawk-SC achieves the unprecedented speed and capacity to analyze these huge designs by implementing the signoff algorithms on the Ansys® SeaScape™ platform - a highly parallelized, elastic compute database structure derived from big-data machine learning architectures, but optimized for electronic design. Reducing Your Project Risk in a Time of Great Change Presented By:   Session Time On Demand Register --> Read Abstract Today, we are living in a time of significant and accelerating change in the world of microelectronic design. The newest silicon process technologies are hugely expensive and are driving a rapid shift to the Multiphysics world of 3D integrated packaging technology. This shift to Multiphysics is happening as the Cloud, AI, and machine learning are changing the face of entire industry sectors; from mobile communications, to autonomous vehicles, to the nature of compute architectures themselves. Risk is all around us, and launching a new chip project carries unavoidable elements of technical and business risk. But we are not powerless. There are proven strategies that shed risk and give you more predictability and more control. That is what Ansys Semiconductor simulation products are all about. Come share our vision on how Ansys’s deep and broad technology can help you can avoid unnecessary risk and get the best, most accurate, and most reliable information at every stage of your chip project - from RTL ,to full chip layout, to integrated 3D systems. Elastic Compute Scalable Design Methodologies for Next-Generation FPGAs Presented By:   Session Time AMERICAS 12:05 – 2:35 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Next-generation field programmable gate arrays (FPGAs) for 5G, AI, automotive, cloud and data center applications are getting bigger, faster and more complex. With the market’s continuous demand for higher performance and lower power products, FPGA designers strive hard to achieve stringent power, performance, area and reliability goals to stay ahead of the game. Traditional electronic design automation (EDA) techniques for full-chip critical path timing analysis and power integrity signoff cannot meet the capacity, performance and accuracy requirements for these complex FPGAs. Productivity and project schedules are negatively impacted as a result. In this session, FPGA inventor Xilinx discusses the many applications for its innovative elastic compute scalable design methodologies. Designing High-Speed Memories for the Edge Without Falling Over the Edge Presented By:   Session Time On Demand Register --> Read Abstract As Artificial Intelligence and Machine Learning increasingly move from the cloud to the edge, they need more than just algorithms: They also need infrastructure to enable other things like analog sensing, high-speed analog-digital conversion, processing, storage, and communication. Several use cases of edge compute - like autonomous vehicles and industrial applications – also require higher performance and reliability with lower power consumption. This trend is driving an increasing number of FinFET design starts to include significant amounts of analog, high-speed interfaces and more embedded or DRAM/flash memory. However, moving to advanced process nodes implies higher sensitivity to temperature variation, which impacts the EM/ESD reliability of these high-speed interfaces. This talk will review the extensive capabilities Ansys® Totem provides to analyze high-speed memories and mixed-signal FinFET designs, and how it can lead to faster design closure. Top Electromagnetic Coupling Issues to Watch Out for in High Frequency Silicon Design Presented By:   Session Time On Demand Register --> Read Abstract As system frequencies and clock speeds increase, unplanned/unwanted electric and magnetic field interactions between on-chip elements as well as chip layers to package layers lead to real chip failures and present significant design and verification challenges. This presentation focuses on the most significant electromagnetic coupling issues that plague high-speed design, and will describe mitigation and prevention strategies and how they can be implemented in a design flow. This presentation draws on the experience of hundreds of customers using Ansys’s comprehensive suite of electromagnetic simulation tools on a wide array of design types – from single device simulations to full 3DIC system designs. AI accelerated Scientific Computing & Engineering Presented By:   Session Time AMERICAS 2:05 – 2:35 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Simulations are pervasive in every domain of science and engineering, but are constrained by long computational times, tedious setup effort and technical expertise. Neural networks not only accelerate simulations that can be solved by traditional solvers, but also simplify simulation setup and address problems not solvable using traditional solvers. NVIDIA SimNet is a a Physics Informed Neural Networks (PINNs) toolkit for students and researchers who are either looking to get started with AI-driven physics simulations or are looking to leverage a powerful, existing framework to implement their domain knowledge to solve complex nonlinear physics problems with real-world applications. ANSYS Mechanical Performance on a 1500 cores Skylake Cluster Presented By:   Session Time EUROPE 10:50 – 11:05 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Ansys Mechanical Performance on a 1500 cores Skylake Cluster Herbert Güttler, MicroConsult GmbH, Bernstadt, Germany The solder joints that connect the integrated circuit (IC) to the printed circuit board (PCB) are subject to failure due to mechanical stresses during thermal cycling caused primarily by thermal mismatch. When we started doing this class of simulations a decade ago, a typical simulation would take weeks to conclude. Over the years, with the help of software enhancements and new hardware capabilities, these runtimes could be reduced down to a few hours. The largest speedups could be achieved running models consisting only of solids and adding contacts would usually degrade performance and scaling. However, by adding features like contact small sliding or and contact splitting that became available during the latest ANSYS Mechanical releases those limitations could be largely overcome, especially at high core counts. We will report on results from actual real world problems that have been performed using up to 1500 Xeon Skylake cores on MicroConsult’s HPC cluster. MicroConsult is a high performance computing partner to ANSYS and works closely together with the ANSYS solver team in Canonsburg. Computational Modeling of Hypersonic Flows Presented By:   Session Time AMERICAS 2:35 – 2:50 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Full abstract coming soon... Multi-objective free-shape optimization of a heat sink by means of the Fluent Adjoint Solver Presented By:   Session Time EUROPE 11:05 – 11:20 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract With the ongoing trend towards increasing power density, conventional liquid-cooled pin-fin heat sinks for the power electronics of an electric vehicle are reaching their limits.The use of adjoint-based free-shape optimization is expected to result in significantly more powerful cooler designs, while at the same time increasing the efficiency of the optimization process. Adjoint methods allow to consider any number of design parameters and thus open up completely new design spaces. This makes it possible to identify designs that are significantly closer to the physical limit and enable higher power densities in power electronics for electric vehicles. The geometry of typical pin-fin heat sinks with up to 3000 individual pins is very detailed and the flow scenario is in the transitional range between laminar and turbulent flow. Therefore, an adequate choice of both the turbulence modeling (LES vs. RANS) and the considered geometric cut-out is crucial to enable a systematic optimization. By combining systematic parameter studies and efficient, gradient-based multi-objective free-shape optimization methods based on the shape sensitivities from the Fluent Adjoint Solver, it is possible to significantly improve the cooling performance of these heat sinks without increasing their pressure drop. Predicting Thermo-mechanical Fatigue Life in Exhaust Manifolds Presented By:   Session Time AMERICAS 3:05 – 3:20 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Exhaust manifolds are subject to large temperature swings and high maximum temperatures, which can lead to thermo-mechanical fatigue (TMF) failures. On the surface, TMF appears difficult to predict due to nonlinear manifold material behavior at high temperatures (creep, plasticity, oxidation). However, life predictions are further complicated by there being three analysis components in any TMF process: a transient thermal analysis, a structural analysis, and failure modeling. Each analysis component relies on the prior component - if any link in the chain is inaccurate, the whole process does not work. This presentation delves into what is required to successfully perform each analysis component to more accurately predict failures. Adaptivity in Implicit Nonlinear Mechanical Analysis Presented By:   Session Time On Demand Register --> Read Abstract Focusing on mesh nonlinear adaptivity, this paper is also going to talk about how to change element types, dimension and other control parameters during solutions. The applications to some industrial problems are to be demonstrated. Adjoint Methods and Optimization Technology Presented By:   Session Time On Demand Register --> Read Abstract For more than a decade Ansys adjoint solver technology in Fluent has grown in strength to emerge as a refined toolkit for shape optimization. The current adjoint solver, in combination with a suite of supporting tools, can optimize the performance of many types of fluid system of engineering interest for a wide range of user-selected objectives. Problems of compressible and incompressible fluid flow and heat transfer, including conjugate heat transfer, porous media and rotating flows can be addressed. The key to this success is a robust adjoint solver that can solve small and large problems and has a broad scope of supported physics, numerics and boundary conditions. In addition, custom-crafted mesh morphing tools and single and multi-objective constrained optimization algorithms are available. These tools are integrated into a flexible yet straightforward workflow. Comprehensive Li-ion Battery Solutions in Ansys Fluent Presented By:   Session Time On Demand Register --> Read Abstract In this presentation, a suite of comprehensive Li-ion battery solutions in ANSYS FLUENT are presented. Fatigue Crack Growth - A New Paradigm Presented By:   Session Time On Demand Register --> Read Abstract Present paper present a recent development, ANSYS SMART (Separating, Morphing, Adaptive and Remeshing Technology) crack growth simulation framework, for automatic, robust and seamless simulation of complex crack growth. The framework is essential for large scale crack growth simulation. Validation with standard CCT specimen has shown very good agreement with analytic solution. Several examples are presented to demonstrate the automatic simulation of crack growth with mixed-mode fracture in focus for the specific application. Gas Turbine Simulation Overview Presented By:   Session Time On Demand Register --> Read Abstract This talk describes the Ansys end-to-end gas turbine solution with its streamlined workflow that allows the design and optimization of the next generation of gas turbines. We will highlight Ansys multiphysics capabilities and the expansion of gas turbine design capacities through process automation, cycle compression, predictive maintenance, and knowledge management. Large Scale Computing in Ansys Simulation Products Presented By:   Session Time On Demand Register --> Read Abstract Ansys products employ various software architectures and targeted HPC methods to reach a high degree of performance and scalability on High Performance Computing systems. This presentation will provide an overview of these methods and their positive impact via benchmarks and applications to industrial strength problems. Machine Learning Based Radar Perception for Autonomous Vehicles Using Full Physics Simulation Presented By:   Session Time On Demand Register --> Read Abstract Safety critical systems in Advanced Driver Assistance Systems (ADAS) depend on multiple sensors to perceive the environment in which they operate. Radar sensors provide many advantages and complementary capabilities to other available sensors but are not without their own shortcomings. Performance of radar perception algorithms still pose many challenges, one of which is in object detection and classification. In order to increase redundancy in ADAS, the ability for a radar system to detect and classify objects independent of other sensors is desirable. In this paper, an investigation of a machine learning based radar perception algorithm for object detection is implemented, along with a novel, automated workflow for generating large-scale virtual datasets used for training and testing. Physics-based electromagnetic simulation of a complex scattering environment is used to create the virtual dataset. Objects are classified and localized within Doppler-Range results using a single channel 77 GHz FMCW radar system. Utilizing a fully convolutional network, the radar perception model is trained and tested. The training is performed using a wide range of environments and traffic scenarios. Model inference is tested on completely new environments and traffic scenarios. These simulated radar returns are highly scalable and offer an efficient method for dataset generation. These virtual datasets facilitate a simple method of introducing variability in training data, corner case evaluation and root cause analysis, among other advantages. Machine Learning Initiatives at ANSYS Presented By:   Session Time On Demand Register --> Read Abstract A summary of machine learning initiatives at ANSYS. A context of the history, a plan of execution and some updates on recent work. Mesh Morphing and Its Application at ANSYS Presented By:   Session Time On Demand Register --> Read Abstract Mesh morphing enables engineers to explore similar variations of a problem quickly at a low cost by offering easy mesh shape changes. Progresses made in efficient and accurate computing mesh morphing field, improving user experience in setting up mesh morphing controls and applying the developed technologies will be presented. Parallel Volume Meshing Presented By:   Session Time On Demand Register --> Read Abstract Size of CAE problems have steadily increased over time. Mesh generation has increasingly become a bottleneck due to largely serial software. We will present a distributed parallel solution to unstructured volume meshing. Recent progress in CAD Workflows for Topology Optimization and Model Deformation Presented By:   Session Time On Demand Register --> Read Abstract This presentation highlights two recent methods to automatically convert faceted simulation results into CAD bodies. The first one shows how to automatically generate a CAD body from topology optimization and preserving boundary condition faces. The second one applies the shape change of a displacement result to the original CAD body without making topology changes. Recent progress in Geometry Modeling: Hybrid Modeling for Automation in SpaceClaim Presented By:   Session Time On Demand Register --> Read Abstract On how the parameter modeler in SpaceClaim can be used as a object-oriented, visual programming environment. Turbulent Times: Challenges in CFD Presented By:   Session Time On Demand Register --> Read Abstract The presentation will provide an insight into the challenges posed by the resolution of turbulence in CFD. It will show that turbulence is the central driving factor for CFD and will detail the level of computing power which will be required with different strategies for handling turbulence. Strategies for achieving optimal performance on highly massive CPU/GPU hardware will be highlighted. Ansys HPC/Cloud Solutions for Scalability Presented By:   Session Time On Demand Register --> Read Abstract This presentation will cover Ansys' approach to a single, integrated user experience and set of services for running simulations The approach spans workstation, on-premise HPC and public/private hybrid cloud. The presentation will cover the architecture, functionality and integration with Ansys products. Ansys Long-Term Technology Strategy Presented By:   Session Time APAC 9:00 - 9:15 AM (GMT +8) Add to Calendar EUROPE 9:00 - 9:15 AM (GMT +1) Add to Calendar AMERICAS 12:30 - 12:45 PM (GMT -4) Add to Calendar --> Read Abstract Simulation has advanced considerably in the last 50 years, from finite element analysis to the study of photonics. What will the next 50 years bring? This keynote presentation will look at the future of simulation, including the impact of artificial intelligence/machine learning, a multiphysics platform and high-performance computing. Supercomputing on the Cloud: How Azure Drives Rapid Innovation and Deeper Insight Presented By:   Session Time AMERICAS 12:45 – 1:00 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Ansys users have very exacting and challenging requirements and want to reap the benefits of supercomputing on the cloud.  Meeting their demands and Microsoft’s commitment to being the cost performance leader for simulation requires aggressive investments in servers specifically designed for HPC and software tools to facilitate the orchestration of both jobs and clusters. Ericsson's Vision & Thoughts on the Future of 5G Presented By:   Session Time AMERICAS 1:00 – 1:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The past, present and future of mobile networking, and how convergence of 5G, edge computing and AI/ML changing the industry landscape, and how it is relevant to simulation/emulation efforts moving forward. Can simulation and digital twin keep up with “C.A.S.E.”? Presented By:   Session Time APAC 9:15 – 9:30 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract The mobility mega trends represented by C.A.S.E.* are a challenge to the world of automotive engineering as the variety, complexity and interaction of technologies continues to grow. Today we want to look at the range and extent of modelling as it is currently used across the many different systems in the automotive landscape and in Marelli’s portfolio specifically, and also at the evolution of these techniques in the future. As economics and development cycles continue to push down costs and lead times, and electrification and connectivity demand a paradigm shift towards a holistic, integrated approach to vehicle design and resource management, we ask the question: how will the tools of the future provide the power, accuracy and interoperability required to keep up with C.A.S.E.? *Connected, Autonomous, Shared, Electric Impact on the cloud on simulation Presented By:   Session Time AMERICAS 1:15 – 1:30 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The performance of Artificial Intelligence algorithms depends highly on the quality of labeled data available for training.  The lack of cost-effective, high quality training data is impactful to challenging business segments such as Government, Space, and automotive.  In this talk we’ll discuss Microsoft Azure’s capabilities for generating synthetic data for the most challenging industries as well as an overview of the impact of the cloud across multiple security levels. Focus on Photonics: The State of the Art Presented By:   Session Time APAC 9:15 – 9:30 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract As Moore’s Law becomes more and more challenged in electronics, photonics is stepping up as a favored solution to advanced innovations. For example, in data transmission, photonics is becoming relevant, then prevalent, and finally dominant at shorter and shorter distances. Today, telecommunications delivered over kilometers to your home and business travel via fiber optics, an application dominated by photonics. Now photonics has moved into the data center, and soon on chip. Autonomous vehicles will depend on photonics for sensing and detection via LiDAR. Photonics is a key enabler of quantum computing. This talk will provide an overview of photonics’ key impact on today’s and tomorrow’s innovations, along with the advantages and challenges of photonics. A View from the CTO Office: Simulation-Based Product Innovation in the Digital World Presented By:   Sujeet Chand, CTO Rockwell Automation Suresh Venkatarayalu, CTO Honeywell Mallik Tatipamula, CTO Ericsson Sudhi Bangalore, Global Vice President, Industry 4.0, Stanley Black & Decker Ed Abbo, President and CTO, C3.ai   Session Time AMERICAS 1:30 – 2:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Companies in industries as diverse as high-tech and semiconductors, aerospace and defense, automotive, industrial, and energy use simulation to engineer and test products completely in the digital domain without the need for costly and error-prone physical prototypes and experimentation. We call this approach simulation-based product innovation. Simulation enable these companies to drive top-line revenue by designing better products, and bringing them to market faster and with higher quality, and bottom-line cost savings by reducing the cost of R&D. These companies can innovate and solve incredibly complex challenges in areas like 5G, autonomy, electrification and the industrial internet of things. In this panel, we will discuss the role of simulation in the process of designing, analyzing, manufacturing and operating products in various industries. The panelists will share real challenges that these companies have faced and opportunities using digital technologies (AI/ML, big data analytics, IOT, 5G, Cloud, Mobility). Digital Twins are now being used in the design, analysis, manufacturing and operations phase of products in various industries. The panel will discuss how data analytics and simulation are being integrated to create Digital Twins and what value they are providing to various customers. Please join our panelists as they address these and other related topics. Simulation Accelerating Storage Innovation Presented By:   Session Time AMERICAS 2:15 – 2:30 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract State of the art simulation methods are critical to growing the data-sphere as architectures expand on the backbone of hyperscale clouds and expand further into the edge. Seagate in particular is laser focused on using simulation for multiple areas of engineering to accelerate innovation for product delivery and research. Verticals including autonomous vehicles, telco networks, AI/ML applications, smart manufacturing, and healthcare are all driving massive storage growth opportunities. We have prioritized our engineers to capitalize on the powers of simulation in order to mature magnetic recording density, improve our manufacturing efficiency, design state of the art electronics and mechanics, evaluate new materials and most importantly accelerate the time to learning to keep us at the cutting edge for these growing ecosystems. Transformational Impact of Simulation for Industrial Applications Presented By:   Session Time AMERICAS 2:30 – 2:45 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The convergence of IT and OT and the availability of scalable compute resources from servers to the cloud, is unlocking exciting new business value from simulation across the entire industrial lifecycle of design, operations, and maintenance. In today’s Connected Enterprises, simulation can run concurrently with the real-time environment to realize productivity and optimization that was not possible before. We will highlight the transformational impact of simulation and highlight a few industrial use cases. Maintenance, repair and overhaul (MRO) in the light of digitalization Presented By:   Session Time EUROPE 9:30 – 9:45 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Full abstract coming soon... Role of Simulation in Defending the America's Cup Presented By:   Session Time EUROPE 9:45 – 10:00 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Technology and Innovation is at the heart of a success. This presentation focusses on the use of Ansys Simulation to design and develop the next generation of Emirates Team New Zealand Yacht to defend the 36th America’s Cup Challenge. Design to Operate - Intelligent Product Development for Intelligent Products Presented By:   Session Time EUROPE 10:00 – 10:15 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Digitization is driving massive changes for the entire enterprise. While digitization of business processes was one major driver in the past, now the products are getting digitized as well, which in turn drives product complexity and enables more digitization of business processes along the entire value chain from idea through engineering and manufacturing to sales and service. Learn in this presentation, how SAP closes the loop to connect your enterprise to your products and customers and how you can boost the experience your customers have with your products. Ansys Autonomy in Practice Presented By:   Session Time On Demand Register --> Read Abstract This presentation illustrates the Ansys Autonomy solution through a simple Automated Emergency Braking (AEB) example. The solution is first introduced, presenting the Autonomy toolchain as an implementation of the Safety First for Automated Driving paradigm (SaFAD) which is based on achieving a combination of Safety by design and Safety by validation. Ansys Autonomy implements Safety by design through a consistent use of Model-Based System and Software Engineering (MBSE) practices where the system is designed as succession of systems and software models, exercising full traceability, powerful analyses and verification techniques, and certified automatic code generation from models. Ansys Autonomy implements Safety by validation through its comprehensive simulation toolchain that allows a combination of thousands of simulation runs with a high degree of flexibility in the level of fidelity of the sensors simulation, from ideal sensors, to stochastic sensors, to physics-based sensors, together with a link to road driving and drive analytics. The combination of design models and simulation is illustrated through the AEB example as we go through the description of the Ansys Autonomy solution. Applications of Optical Simulation in Comfort and Driving Assistance Systems – Intuitive controls and Vision Systems Presented By:   Session Time EUROPE 10:45 – 11:00 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Intuitive controls and Driver assistance systems in Mobility Industry are mandated to meet regulatory requirements in order to ensure functional safety and ease of use. In this presentation, the focus is on applications of Optical simulation in providing objective and supplementary artifacts in conforming to the respective regulations. Intuitive controls for example Products like switches need optical illumination studies to predict reflections and light leakage. The critical validation requirements are Luminance level, Contrast, Luminance uniformity and color levels. The simulation methodology using ANSYS SPEOS OPTICS LIGHT MODELLING involves Assignment of material, physical properties to the parts under consideration, creating representation of symbols (if any), characterization of light sources (example LEDs), application of optical properties, characterization of measurement surfaces and finally performing the calculations. Vision systems that include exterior and interior Cameras utilize optical simulation to predict Field of Vision and Driver monitoring respectively. Field of vision requirements for Exterior cameras are dictated by numerous international regulations like NHTSA, FMVSS, EC and UNECE along with specific local adaptations needed in specific geographies for the bollards. The Simulation methodology includes characterization of Field of View Scene with appropriate ambient physical/ light conditions, Vehicle outline with appropriate of number of cameras with positions, appropriate Camera Lens, measurement locations and finally performing the calculations. Combining ANSYS VRXPERIENCE & NI to solve ADAS/AD HIL validation Presented By:   Session Time APAC 9:30 – 9:45 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract From SAE Level 3+, V&V engineers are facing large increase of on-road testing and HIL testing of ADAS/AD functions. ANSYS and NI offer a streamlined Development Process in order to smoothly progress from virtual simulation (MIL/SIL) toward hardware or vehicle in the loop (HIL/VIL) simulation. In this session we will provide an overview and demonstration of the integration between ANSYS VRXPERIENCE and NI’s platform for ADAS/AD Hardware in the loop. Leveraging Ansys Tools for Developing Certifiable (DO-178C) Avionics Intelligent Agents Embedded in Autonomous UAVs Presented By:   Session Time AMERICAS 2:45 – 3:00 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Introduction: Unmanned Aerial Systems (UAS) market, types of Unmanned Aerial Vehicles (UAV), civil and military applications, key enablers for UAVs autonomy. Part 1 – Avionics Adaptive and Learning Agent (AALA): Avionics Adaptive and Learning Agents (AALA) are an enabler for UAVs reaching higher levels of autonomy. AALAs bring computational intelligence to their aircraft host systems, adapt to novel situations they encounter in their complex air space environment in order to accomplish the mission and learn from their experience to improve their performance with Machine Learning algorithms. Part 2 – AALAs designed with a Cognitive Architecture: AALAs under development at SkyAngels are designed as per a Cognitive Architecture. Cognitive Architecture allows transposing human or animal cognitive capabilities: learning, perception, memory, decision making, action… to software agents to enable them reaching some levels of General Artificial Intelligence. Soar has been selected for the project. Part 3 : AALAs DO-178C Certification Challenges: AALAs providing computational intelligence to autonomous UAVs, aimed at navigating in non-segregated airspace, need to follow DO-178C certification path. This represents software enginering challenges related to adaptability and learning requirements specification and verification, algorithms convergence, deterministic behavior and absence of emergent comportments. Those AALAs should also resist to cyberattacks and thus compliance against DO-326A and DO-356 is sought. Part 4 – Leveraging Ansys Tools for developing DO-178C certifiable AALAs: AALAs development relies on Ansys SCADE Suite as a qualified tool (DO-330) with a certified source code generator. Software is modelled with SysML state machine and data flow Diagrams (DO-331). Scade6, the underlying formal notation language is verified with model checkers (DO-333). SCADE Architect is used to model avionic systems following a Y-chart approach. Medini covers safety and cybersecurity analysis. Twin Builder is used for software simulations. Scade Vision will be adapted to UAVs cameras and air-to-air radar edge cases. VRXExperience will be transposed from automotive for system simulations before UAV prototypes flight testing. Conclusion and future works Virtual ADAS Validation Using Physics-Based Camera HiL Testing Presented By: Vaclav Trnka, SKODA Auto, Loukas Rentzos, Ansys, Maximer Vaclav, SKODA Auto   Session Time EUROPE 10:15 – 10:30 PM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Full abstract coming soon... Common Simulation Capabilities to Accelerate Digital Transformation Presented By:   Session Time On Demand Register --> Read Abstract Simulation is a critical component of digital transformation as companies seek to accelerate innovation, drive down cost and get to market faster. Maximizing its impact requires a number of core capabilities. This presentation will share five capabilities that are consistently identified by our customers and provide an overview of how Ansys strategy is delivering against them. Digital Transformation to support the NNSA’s Stockpile Stewardship Program Presented By:   Session Time AMERICAS 3:30 – 3:45 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Lawrence Livermore National Laboratory works to establish a science-based understanding of nuclear weapons performance to assess the safety, security, and effectiveness of the stockpile as part of the DOE’s National Nuclear Security Administration. Enhanced data management strategies are a means to a higher quality, enduring archive for data generated in support of our Nation’s Stockpile Stewardship Program. Data management encompasses a disciplined approach to metadata, which tracks provenance and provides traceability from raw data products to analytic results, as well as effective curation to ensure long term data access and security. Together metadata and curation support data discovery, repeatability, attribution, improved quality, collaboration, and transparency. LLNL is developing modern, flexible solutions to help meet our rigorous data management needs, ensuring data assets are available to engineers and analysts that rely on this data to support/defend critical design decisions today and into the future. This talk will focus on the unique challenges facing the NNSA’s modernization process with an emphasis on the management of materials intelligence data throughout the product lifecycle, Materials 4.0. The NNSA has worked with GRANTA for over 20 years on this mission. Paving the way to the Next-Generation Virtual Lung Model for Personalized Pulmonary Healthcare Presented By:   Session Time AMERICAS 3:15 – 3:30 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Nowadays, “personalized medicine” is starting to replace the current “one size fits all” approach. The goal is to have the right drug with the right dose for the right patient at the right time and location. An example of personalized pulmonary healthcare planning is the targeted pulmonary drug delivery methodology. However, traditional in vitro and in vivo studies are limited and not sufficient for the personalized treatment plan development purpose. Specifically, due to the invasive nature and imaging limitations, animal studies and clinical tests are lack of operational flexibility and will not be able to provide insightful high-resolution patient-specific data. Therefore, alternative methods should be developed to conquer these bottlenecks. Models based on the computational fluid-particle dynamics (CFPD) method play a critical role in exploring alternate study designs and provide high-resolution data in the noninvasive, cost-effective, and time-saving manner. The in silico methodologies can fill the knowledge gap due to the deficiency of the traditional in vitro and in vivo methods, as well as make breakthroughs to pave the way to establish a reliable and efficient numerical investigation framework for pulmonary healthcare on a patient-specific level. CFPD models can provide high-resolution local dosimetry of inhaled aerosols to address the public health concern, i.e., “What type of inhaled aerosols deposits where at what surface concentrations in the patient-specific respiratory system under what operational conditions?” In this presentation, the speaker will discuss the research progress and challenges on creating the individualized digital twin for in silico pulmonary healthcare planning, with details on how to use computational fluid-particle dynamics to simulate inhaled aerosol transport, deposition, and translocation in human respiratory systems. The presentation will cover: (1) Reconstruction of patient-specific whole-lung model from CT/MRI scanned data; (2) Prediction the toxicants and drug chemicals translocations in human body; (3) Inter-subject variability studies to generate statistically robust numerical analyses, i.e., CFPD simulation with “error bars”; and (4) Establishment of an elastic lung model; (5) Applications of the virtual lung model on pulmonary drug targeted delivery and occupational exposure health risk assessments. Accelerating Product Development Through Digital Transformation Presented By:   Session Time APAC 9:30 – 9:45 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract Garrett is leading Tier-1 supplier of Turbocharger for nearly every major global automaker; average launch rate of 100 new applications annually spanning, gas, diesel, natural gas, electric and fuel cell powertrains. Even in this disruption due to more electrified powertrain predicting life of Turbocharger remains key. Predicting life through complex Thermo Mechanical Fatigue analysis requires better understanding of material model, integration of multiple tools and functions covering the entire Digital thread. Garrett vision is to bring in more AI/ML in the process through data mining of the huge data generated over the years, faster material characterization from test data, improving efficiency through process integration and data management (SPDM) leading to faster time to market and reduce cost. This talk will cover the digital transformation Garrett has undertaken from traditional way of designing to data driven (test and simulation) designing to be ahead of the market. CFD-DEM coupled Simulation of Hair Flow Inside a Cyclonic Device Presented By:   Read Abstract In this work, the modeling of hair flowing in a cyclonic device was accomplished by the DEM-CFD integration between Rocky® and ANSYS Fluent®. The hair strands were modeled using Rocky’s flexible fiber particle, based on bonded sphero-cylinders, which enables the simulation of a large number of fibers, depicting behaviors such as flexibility, deformation, and inter-fiber interaction as well as the effect of fluids on fibers through coupled simulation with ANSYS Fluent®. A new drag law, developed for long slender fibers immersed in turbulent flows was implemented in order to better predict the correct particle/flow behavior by taking into account the particle shape and its alignment with the flow field. The numerical results were compared to experimental data and showed good agreement, proving this approach as useful tool for evaluating new designs and operational conditions, reducing the cost involved with new prototypes and experimental testing. Analysis Process for Predicting Thermo-mechanical Fatigue Life Presented By:   Session Time On Demand Register --> Read Abstract Many components are subject to large temperature swings and extremely high maximum temperatures, which can lead to thermo-mechanical fatigue (TMF) failures. On the surface, TMF appears difficult to predict due to nonlinear material behavior at high temperatures (creep, plasticity, oxidation). However, life predictions are further complicated by there being three analysis segments in any TMF process: a transient thermal analysis, a structural analysis, and damage modeling. Each analysis segment relies on the prior segment - if any link in the chain is inaccurate, the whole process does not work. This presentation delves into what is required to successfully perform each analysis segment to more accurately predict failures. An exhaust manifold is used to illustrate this process. Automotive shape aerodynamic performance optimization based on Adjoint solution Presented By:   Session Time APAC 10:00 – 10:15 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract Due to the increasingly stringent environmental regulations all around the world confronted by exhaust emission and energy consumption, improving fuel economy has been the top priority for most automotive manufacturers. In this context, the basic process for vehicle shape development has evolved into optimizing the design to achieve better aerodynamic characteristics, especially drag reduction. Of all the optimization approaches, the gradient- based adjoint method has currently received extensive attention for its high efficiency in calculating the objective sensitivity with respect to geometry parameters, which is the first and foremost step for subsequent shape modification. This paper evaluates the effectiveness of adjoint method for aerodynamic optimization of a production vehicle, which indicates more extensive and promising application of this approach in the early stage of vehicle development for its high efficiency as well as strong robustness. [ Keyword ] Vehicle configuration optimization, adjoint method, drag reduction, numerical simulation, wind tunnel test Best Practices for Industrial Flows and Turbomachinery Presented By:   Session Time EUROPE 10:30 – 10:45 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract CFD has an increasingly important role in the design or analysis process. While computational models are capable of a great accuracy, the human effort and computational cost may unnecessarily strain resources or place CFD beyond practical requirements. Understanding and managing uncertainty is key to successful and quality CFD simulations, whether you are using CFD for preliminary design or detailed analysis purposes. This presentation aims to inform practitioners on sources of uncertainty in CFD, particularly those which are under their control, and implement best practices so that simulation and uncertainty level targets can be managed and quantified, ensuring the quality your process requires. Motivation: Help practitioners improve the quality and impact of CFD in their design process. Key learning objectives: sources of error in CFD analysis, practical methods for appropriately managing CFD errors, and scoping CFD to match the needs at various stages of the design process Learn How to Speed Up Your Simulations with More Powerful Hardware Presented By:   Session Time APAC 9:30 – 9:45 AM (GMT +8) Add to Calendar On Demand Register --> Read Abstract Shorter time-to-market through reducing design and development time is often cited as one of the key benefits of simulation. For many businesses, engineers accept slow performance of key engineering applications due to lack of appropriate hardware and/or IT expertise. Product designers may even constrain the size and quantity of simulations to reduce turn around wait times. Realistic simulation can push the need for compute capacity beyond a workstation toward a high-performance computing (HPC) system. This presentation will demonstrate how joint Ansys, HPE and Intel® programs can help engineers to overcome these challenges. With the HPC Benchmark Program, you can see the increase in speed using an HPC system on your own simulation model. Experts will help you evaluate your existing capabilities and compare them to a small HPC system. The HPC cluster appliance program provides an ideal out-of-the-box, plug-and-simulate, externally managed HPC cluster solution. The solution includes an appliance that is optimized for, and preconfigured with Ansys simulation and job-management software. In addition, this presentation will provide some standard ANSYS Fluent, ANSYS CFX and ANSYS Mechanical benchmark results for 2020R1 release on the latest Intel Xeon based HPE Apollo 2000 Gen10 cluster. Metal Additive Manufacturing & Defense Electronics: A Discovery Live Success Story Presented By:   Session Time AMAERICAS 2:45 – 3:00 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract We will present the use of the ANSYS suite of product to design and validate the redesign of Embedded Defense Electronics Products with Metal Additive Manufacturing & Generative Design processes Optimizing Materials Selection at Electrolux for Food Preservation Presented By:   Session Time EUROPE 11:15 – 11:30 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Preserving food is one of Electrolux core competences. Making a wide range of components and products, gives them the opportunity and the challenge to innovate with different types of materials. They need to carefully choose those materials that meet the engineering and business requirements; and to ensure these requirements are met and innovations keep coming at a fast space, Electrolux considers materials issues early in design. This best practice contributes to improve unnecessary and costly iterations later in the engineering process, reducing cost and ultimately time-to-market. In this presentation Francesco Clementi, Foam and Plastic Expert, at Electrolux Food Preservation in Italy, will share how Ansys Selector helps him make informed material decisions at product conception. Simulation for Future - with Customized Solutions Leading Presented By:   Session Time EUROPE 11:45am – 12:00 PM (GMT +1) Add to Calendar On Demand Register --> Read Abstract My Calendar, My App – in everyday life, individual digital solutions are often found that make our lives easier and help us to have time for the important things. Taking Simulation from the Microchip to the Mission Presented By:   Session Time AMERICAS 3:00 – 3:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Within the digital engineering enterprise, mission problems are broken down into executable pieces such as component development, system integration, and operational usage. Complex systems come together in a system-of-systems architecture and must operate in a coordinated way across multiple domains in order to achieve the intended mission outcomes. Digital Mission Engineering connects the design of these components and systems to operational outcomes by extending digital engineering and MBSE technologies, standards, and practices to the mission level. Traditional systems engineering methods are often disconnected from one stage of the lifecycle to another causing significant investment in tool reinvention and model recreation which leads to inconsistency in simulations and lengthy development timelines. Since these models are rarely connected to the mission environment and how disparate systems collaborate to achieve objectives, many problems are not discovered until very late in the lifecycle. As system requirements are becoming more complex and development cycles are moving much faster, traditional methods will not keep up. Executing model-based systems-of-systems interactions in a consistent, physics-based environment, such as AGI’s Systems Tool Kit, creates the true Mission Digital Twin. As models evolve throughout the lifecycle they can be reevaluated in the common mission environment along with other systems, assessing the impact of those components on the overall mission objectives. Through Digital Mission Engineering (DME), we are now capable of quickly evaluating the overall mission impact of the smallest change to any component. By leveraging the ANSYS technology stack, DME enables customers to rapidly “dial-up” the fidelity of their simulation environment to evolve, optimize and validate operational performance requirements of their system designs via an integrated Digital Twin prototype. As the system is deployed into operations, this simulation capability continues to evolve and predict performance as the operational Digital Twin. Integrating the mission environment and operational objectives into the Digital Thread early and throughout the entire product lifecycle provides significant value. Using Digital Mission Engineering, we are able to identify critical issues much earlier in the project timeline, providing a stronger ability to positively influence the project outcomes and deliver better solutions in faster cycles. Workflow for predicting chain whine in a T-case using Ansys Motion Presented By:   Session Time EUROPE 10:45 – 11:00 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Chain Sprocket excitation is considered as a major source of noise from a Transfer case in 4H range. Unlocking your Competitive Advantage Presented By:     Read Abstract Changes in technology, manufacturing process, engineered materials and customer preference have set the stage for unparalleled disruption within Manufacturing. These market drivers are further exacerbated by fluctuations in demand, tariffs and trade policies, not to mention shortages in new skills needed within our workforce. In this session, we’ll demonstrate how leading companies are embracing this disruption to secure a competitive advantage by enabling collaborative product development and manufacturing across multi-disciplinary skillsets, supply chains and an inconsistent global infrastructure. Condition Based Monitoring (CBM) Using Digital Twin Concept in Oil and Gas Presented By:   Session Time AMERICAS 2:45 – 3:00 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Condition based monitoring is used in a lot of different equipment these days. Being able to predict what will happen to a component days or weeks in advance can prevent catastrophic disasters and also save millions of dollars. Combining Condition Based Monitoring (CBM) with digital twin capabilities will enable oil and gas companies to answer a lot of “what-if” questions without running expensive tests. Implementing a physic-based digital twin combined with sensor data and machine learning algorithms will provide significant insight for any complex equipment. Nonlinear reduced order model for life assessment of a digital twin Presented By:   Session Time AMERICAS 3:00 – 3:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The increasing decentralization and integration of renewables into the energy market has led to new challenges for gas turbine OEMs and energy producers. For both, the requirements regarding flexibility in operation, optimized service downtimes and long-term operation are increasing. As a result, gas turbines are either exposed to a more complex load scenarios or, to optimize the lifetime consumption of core components, less conservative but plant-specific load transients and location-specific environmental conditions must be considered. Continuous online processing of actual operation using high-fidelity FEA requires huge computational effort, particularly considering a fleet of hundreds of engines and hence fast, and accurate surrogate models are needed. Within the concept of digital twins, the non-linear reduced order model (ROM) technique promises such a solution to obtain local temperatures and stresses required for component lifing models considering non-linear boundary conditions and material data. Such a ROM, implemented within Ansys, can be built into the system control system as part of the digital twin and made available to the customer or service-contractor for further decisions on operation and outage planning. This presentation covers a first example of a non-linear ROM of a turbine rotor disk, created using Ansys Dynamic ROM Builder with data from a transient thermal-structural FE model. Time-varying temperatures and heat transfer coefficients, calculated at 28 regions in an upstream whole-engine model, were applied as thermal loads. Temperatures and strains were measured at discrete points to generate training data for the ROM. Input compression was used to reduce the 58 input signals to 10 significant modes. A non-linear ROM was produced that gave good predictions on both static and dynamic operating phases during representative drive cycles. ROM results can be fed into a downstream lifing model to give in-service life prediction in a digital twin. Introduction to Digital Twins Presented By:   Session Time On Demand Register --> Read Abstract Full abstract coming soon... Simulation based Digital Twins for predictive maintenance, optimal operation and new business models Presented By: Teresa Alberts (ITficient) & Christof Gebhardt (CADFEM), CEO & Head of Digital Twin Innovation Lab   Session Time EUROPE 10:15 – 10:30 AM (GMT +1) Add to Calendar On Demand Register --> Read Abstract The digital twin is the virtual image of a specific asset that accompanies its physical counterpart throughout its life. Its virtual sensors provide information especially in situations where plain sensor data is not sufficient. Various types of degradation such as cavitation, abrasion, corrosion, fouling or fatigue can be detected and projected into the future. For operators, the digital twin serves to ensure availability, implements predictive maintenance and optimizes operation in terms of performance, operating time or operating costs. From the manufacturer's point of view, digital twins offer new business models through digital services such as recommendations-as-a-service, maintenance-as-a-service and machine-as-a-service. The implementation of digital twins is shown from both perspectives - operator and manufacturer: For a leading european operator of hydro power plants, the digital twin provides extended insights in the current and expected hydro power plant state. Based on this information, he is able to see not only the actual state but as well to balance the mode of operation in the sweet spot between revenue and maintenance costs. In the context of oil & gas applications, a leading manufacturer of mission critical equipment implements digital twins to offer new digital services for his customers based on virtual sensors. The integration in the SAP infrastructure provides a compelling customer experience and effective business processes. See as well: https://tinyurl.com/y8rkn9jj 5G Design Innovation Through Simulation Presented By:   Session Time On Demand Register --> Read Abstract Modern electromagnetic simulation is founded on the vision that all electronic design is fundamentally based on Maxwell’s Equations, thus solving them directly would one day become the basis for the highest performance design. That day is today. In this 5G Anchor presentation, we will highlight the promise of the coming 5G revolution, as well as spotlight some of the significant challenges that accompany this leap in communications technology. You will see that superior design can be delivered using advanced engineering simulation and high-performance computing leading to advantage for both large corporations and small start-ups. During the course of our 5G track, you will see what our customers, technology solution partners and Ansys field engineers are doing to apply best-in-class solutions to address the 5G design and analysis challenges from the scale from transistors to cities. Ansys Multiphysics for 5G: Chips to Cities Presented By:   Session Time On Demand Register --> Read Abstract 5G is positioned to be much larger than simply the next-generation mobile network. 5G will offer a significant increase and performance and efficiency over the previous mobile networks, and this new performance will allow for new, larger applications to flourish along with next-gen mobile to mobile communications. Because of its proposed ability to handle multi-Gbps data rates, 5G will usher in the rise of the machines. 5G will become the backbone for big data transfer that will allow for applications such as smart cities, autonomous vehicles, industrial electrification, next-generation medical, and much more to become a reality. However, for 5G to become a reality, the communication channels must be reliable and optimized. Ansys offers the special ability to simulate and predict the operations of equipment that will be used to make 5G networks a reality, such as new data centers, EDGE network systems, mmWave antennas and system designs, next-gen semiconductor applications, and more. In this presentation, you will learn how you can deliver innovative designs for 5G using physics-based simulation. Ansys can help engineers design, study and solidify next-generation communications channels because only Ansys offers broadband, multiphysics simulation capabilities that stretch from chips to cities. Modeling and Simulating the Coupled Effect Between Antenna Arrays and Nonlinear RF Front Ends in Modern Communication Systems Presented By:   Session Time On Demand Register --> Read Abstract AMCAD VISION is an advanced RF/microwave circuit and system modeling solution for accurate system design. This presentation highlights the use of VISION models to take into account the interaction between power amplifiers and antenna array. VISION offers a unique platform that provides accurate behavioral models for High Power Amplifier accounting for nonlinearities, inter-block mismatches, and memory effects. From antenna designed in ANSYS Electronics desktop, VISION is able to predict the magnitude and phase distribution considering complex load-pull effects from HPA/Antenna interaction. Recent Advances in 3D EM Component Models Presented By:   Session Time On Demand Register --> Read Abstract The combination of circuit simulation, equivalent-circuit models, and planar electromagnetic (EM) simulation of a PCB layout is typically sufficient for designs in which components are not packed into a compact layout. However, once components are placed near each other, this approach no longer captures all the interactions that will be present in the fabricated design. For these scenarios, 3D simulation is required to accurately predict a circuit’s performance. However, while 3D simulations are extremely powerful, they require a high degree of expertise and an in-depth knowledge of the components used in the simulation. This session explains when 3D simulations may be required rather than planar EM simulations. In addition, an alternative 3D-simulation method for capacitors is discussed. This approach involves “brick-model” elements that can capture the effects of component coupling in the simulation. Several 3D-simulation-based design examples are demonstrated that incorporate highly accurate Modelithics 3D models. The design methods presented in this session can be applied to 5G applications and much more. Simulation Support of 5G Over-The-Air (OTA) Test Presented By:   Session Time AMERICAS 2:45 – 2:55 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract New frequency bands and dense integration of 5G antenna products forbid traditional subsystem level conducting test leaving developers and manufacturers with Over-The-Air (OTA) test as the only viable way. ANSYS Electronics Desktop simulation can be an important part of the design of test setup and assurance of best return on investment (RoI) before building a costly test facility. Perspective on Assurance-Enabled Microelectronics for 5G Presented By:   Session Time AMERICAS 2:55 – 3:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The Office of Secretary of Defense (OSD) has prioritized microelectronics as a top technology initiative to enable future warfighting capability. Sanctioned by the OSD, the Air Force and other branch services are executing upon the Trusted and Assured Microelectronics Program to secure the supply chain and ensure successful foundational knowledge for microelectronic deployment in applications like 5G, autonomy, AI, and signals intelligence. Mr. Orlando will provide his perspective on assurance-enabled microelectronics for the 5G markets. RF Synthetics – A virtual wireless globe Presented By:   Session Time APAC 9:30 – 9:45 PM (GMT +8) Add to Calendar On Demand Register --> Read Abstract The airwaves are becoming increasingly complex to navigate with the growth of 5G, and proliferation of low earth orbit satellite industry.  In this talk we’ll discuss how we are leveraging Ansys tools at cloud scale, to build a completely virtual wireless globe that will enable AI for 5G, expansion of military and commercial spectrum sharing, and the ability to virtually fly satellite RF payloads. A microwave filter design platform for 5G and mmWave requirements that features an AI-optimized tuning system Presented By:   Session Time AMERICAS 3:10 – 3:25 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract With direct integration into Ansys HFSS, SynMatrix offers one of the world’s first AI-based tuning optimization systems with an advanced space mapping workflow. The integrated HFSS-SynMatrix design workflow for filter design improves simulation performance, obtains more accurate and faster design outputs, and also helps to avoid physical production rework. This session will review the design issues introduced with mmWave components, introduce a microwave filter design platform called SynMatrix, and review use cases to help illustrate how improved design and simulation tools can help meet those design challenges. Novel Method to Model Emissions through small Gaps in Housings Presented By:   Session Time EUROPE 11:50am – 12:05 PM (GMT +1) Add to Calendar On Demand Register --> Read Abstract Due to bolt pre-tension the parts of a housing will gape by up to a few microns. Those gaps are often weak points for EMI shielding and affect the shielding effectiveness of the housing in an adverse way. For housings of electric drives, it is crucial to evaluate the effect of the bolts, their positions and their pre-tension on the shielding effectiveness. Simulation is the best way to gain understanding, evaluate and plan in an early stage, especially when the housings are big, prototyping is expensive and takes a lot of time. HFSS Theater Curtain Call Presented By:   Session Time On Demand Register --> Read Abstract Full abstract coming soon... Ansys HFSS Comprehensive Radar Solutions for Autonomous Vehicles Presented By:   Session Time On Demand Register --> Read Abstract Advanced driver assistance systems (ADAS) are at the core of automotive safety and will serve as the enabling technologies for autonomous vehicles. Ansys HFSS solvers have a direct application in the design and testing of the sensors required. In this presentation, we will demonstrate how HFSS can be used to develop vehicle to everything (V2X) systems, automotive radar antenna, and radar returns of traffic scenarios. Using hybrid solver techniques, such as FEM, IE, and SBR+, the installed antenna performance will be evaluated on electrically large platforms. V2X simulation studies will reveal how multipath propagation can lead to reduction in received signal strength between communicating vehicles. Finally, a high-resolution MIMO radar system will be simulated in a realistic driving scenario. The radar returns will be processed into Range-Doppler and Angle of Arrival maps. Additionally, micro-doppler signatures by vehicles and pedestrians will be studied using full-physics simulation. Design Innovation of Handheld 5G Antenna Systems with HFSS Simulation Presented By:   Session Time On Demand Register --> Read Abstract Great opportunities exist for those engineering the next generation of 5G-compatible portable communication devices. With the promise of significantly higher data bandwidth, combined with low latency, these devices will pose significant challenges in design and optimization for the 5G reality. Handheld devices engineered for the 5G network must co-exist with 4G and 3G system antenna systems, adding more antennas to operate at more bands, inside of a form factor that remains largely unchanged over previous generations. Furthermore, antenna systems for higher frequency bands will employ phased-array technology, using more antennas to dynamically focus radiated energy in beamforming. Concentrating radiated energy poses requirements to validate specific absorption rate (SAR) and power density (PD) levels to satisfy human safety, regulatory and compliance standards. Developing these antenna systems and performing radiated emissions testing with build-test-validate methods at each design iteration for 5G mobile devices will not meet challenging product release timelines and price targets. Mobile devices move through difficult physical environments (the “physical channel”) that become challenging at near-6 GHz and much more complex at the mm-wave 5G bands. Higher frequency bands provide higher data bandwidth potential, but wireless propagation is reduced, and multi-path and diffraction effects become more pronounced. For this reason, MIMO beamforming techniques anticipated in 5G base stations will shape optimal radiation patterns based on the channel state information (CSI). CSI is based on the physical channel response between the mobile device and the base station and depends on the locations of the antennas and the physical structures in the environment. Choosing an optimal location for a base station will depend on optimal channel states afforded by the placement, which in turn depends on the possible gain and radiation pattern control provided in the mobile device. Ansys HFSS provides the mobile systems engineer with abilities to simulate and optimize antenna designs to account for antenna-to-antenna, package, and human body interaction. Virtual compliance testing capabilities in HFSS enable breakthrough capabilities in virtual compliance testing, catching costly compliance failures well before the physical prototype. Modeling the physical environment (channel) response between the base station and the mobile device enables an end-to-end simulation capability for virtually testing microcell and nanocell placements throughout a city or other extended setting—without installed RF heads and conducting costly OTA site testing. In this presentation, you’ll see how Ansys HFSS helps you meet design and regulatory compliance testing challenges and tests your devices in a high-fidelity virtual environment setting. EMI/EMC Workflows in HFSS Presented By:   Session Time On Demand Register --> Read Abstract Simulation of EMI/EMC may require analysis of complex systems, including many aspects of signal integrity, power integrity, and RF. This presentation introduces automated workflows and templates available in HFSS for EMI/EMC simulations. Allowing users to easily identify design flaws that can lead to potential EMI issues, providing a unique capability to quickly build a full virtual compliance environment. These integrated workflows avoid repetitive design iterations and costly recurrent EMC certification tests. Multiple solvers intended to address diverse electromagnetic problems, as well as the circuit simulators in HFSS, help engineers assess the overall performance of their electrical devices and create interference-free designs. Several examples will be presented, highlighting how exclusive HFSS technologies such as hybrid solvers, robust meshing algorithms, system solvers, and cable modeling techniques are used to model complex real-world EMI/EMC challenges. The Next Generation of Phased Array Simulation with HFSS Presented By:   Session Time On Demand Register --> Read Abstract Ansys has developed a breakthrough technology, known as 3D Component Domain Decomposition Method (3D Comp DDM), that enables the accurate and efficient simulation of antenna arrays. Whether solving complex, electrically large antenna arrays, or relatively simple antenna arrays, this technology enables fast simulation without compromising on accuracy. Based on the proven HFSS solver and gold standard in simulation, this capability is the next generation of solver technology. 3D Comp DDM enhances the simulation process offering a robust and scalable solution for modeling realistic arrays while capturing finite array truncation effects. This patented, non-conformal finite element technique enables the solver to not only exploit repeated geometry, but also enables the use of multiple, different unit cells to build the full array geometry. This allows for consideration of more complex arrays, which could include edge treatments or radome effects to be fully accounted leading to an accurate characterization of array-radome assemblies. In this presentation, this 3D Comp DDM workflow for analysis of phased array antennas will be demonstrated. Novel RTL Power Regression and Minimization Workflow for Mobile GPU Cores Presented By:   Session Time AMERICAS 3:45 – 4:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract RTL power has been widely adopted in the industry for early feedback, especially for mobile chips. It is also a growing trend to analyze power on real benchmarks for realistic power. By using the streaming flow of emulator+power tools, we are able to efficiently analyze power with much faster turnaround time. A power regression and minimization framework is built up with the streaming flow. On top of that, we developed a nova feature-based multi-window flow. A big benchmark is divided into dozens of windows. This can provide a more detailed power break down per ‘function’ and get pseudo-time-based power. Designing Large-Scale Silicon Photonics Integrated Circuits through PDK Compnent Library Presented By:   Session Time AMERICAS 2:45 – 3:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Analog Photonics creates the photonic Process Design Kits (PDKs) for AIM, the United States’ flagship manufacturing facility for photonic IC’s. Similar to semiconductor PDKs, photonic PDKs provide the essential basics for photonic ICs. PDKs are critical for innovation and commercialization of photonic technology. This talk will survey the state of the art of photonic design and applications. Thermal Issues and Solutions for 3D ICs: Latest Updates and Future Prospect Presented By:   Session Time AMERICAS 3:15 – 3:45 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract It is well-known that thermal issues have been the most prominent roadblock hindering the mainstream acceptance of 3D IC technology. This has called for a concerted effort from all parts of the community: architects, circuit designers, electronic design automation (EDA) vendors, foundries, and packaging houses. In this talk, we present our latest research accomplishments from circuit design and EDA perspectives. Specifically, we provide detailed thermal analysis results of commercial-grade 3D IC designs targeting a wide range of applications. We analyze the root causes of their thermal hotspots and their impact on power, performance, and area (PPA). Next, we discuss which set of thermal-aware design and EDA solutions have been useful to mitigate thermal hotspot issues. We conclude with our thoughts on the need for multi-disciplinary and multi-faceted efforts. This project is currently being funded by DARPA, Arm, and Ansys. All things 3D-IC: Taking the Headache out of Managing Multiphysics Co-design for a 3D-Chip-Package-System Presented By:   Session Time On Demand Register --> Read Abstract Every stage of a 3DIC design – from chip to package to PCB to system – involves careful attention to ensure reliability in the face of thermal, power, electromagnetic, and mechanical constraints, and interactions. But the design stages are often disjoint and fragmented with limited visibility from one abstraction level to the other. Chip-package co-design is a vital part of 3DIC design and has become a critical requirement for modern system design. Ansys 3DIC analysis platform provides a smooth and well-thought-out workflow to easily pass the right information between chip, package, and board tools for a seamless early-design to sign-off methodology for thermal, power & signal integrity. With automatically generated chip abstractions and powerful analysis engines at all levels, the Ansys platform lets designers focus on the relevant issues at every stage without having to accept compromising simplifications or unmanageable complexity. A C-P-S Simulation Technique of Power-Noise Side Channel Leakage in Cryptographic Integrated Circuits Presented By:   Session Time AMERICAS 4:15 – 4:45 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Cryptographic algorithms are vulnerable to implementation attacks on side-channel (SC) leakage information. This paper introduces an efficient simulation technique of SC leakage at the full IC chip level. Tool chains and modeling flows will be explained in detail. The whole power delivery network (PDN) including Si substrate is captured in a chip power model (CPM) and then integrated in a chip-package-system board (CPS) model. The proposed technique was demonstrated with an advanced encryption standard (AES) Si test chip for SC leakage evaluation using correlation power analysis (CPA) over 1000 different plain texts through power delivery and Si substrate combined networks. Is Your Chip Green Yet? Steps to Power-Efficient RTL Design Presented By:   Session Time On Demand Register --> Read Abstract Less is more. If COVID-19 has taught us one thing, it is to make do with less. As semiconductor designs increase in complexity to cater to the insatiable need for more compute power, designers are constantly faced with improving Watt per Hertz targets. Optimal power consumption prolongs battery life, improves thermal performance, and leads to a green chip and a green earth! Early visibility to chip power provides a critical boost for high-impact and timely design decisions versus traditional gate level power sign-off. Designs competing on power or with energy efficiency concerns have not only adopted but expanded RTL power methodologies to analyze real application scenarios ranging 100s of milliseconds. Join this session to learn best practices in use by leading semiconductor companies to analyze, debug and reduce power Developing the Next-Generation Engineering Curriculum to Democratize Simulations Presented By:   Session Time AMERICAS 2:45 – 3:00 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract Many engineering professors recognize the benefits of integrating simulations into the undergraduate curriculum such as connecting physics to real-life applications, supporting project-based learning and helping students acquire skills sought by industry. However, they struggle with how to incorporate simulations into their courses without taking away from the teaching of physics. At Cornell, I have developed an approach that blends the teaching of physics and simulations using just-in-time, problem-based learning. This approach seamlessly integrates the teaching of theory with the hands-on use of ANSYS Mechanical and Fluent. It has become clear from these efforts that ANSYS can serve not only as a problem-solving platform but also as a visual learning platform that helps students master physics better than through a pure textbook approach. My approach has been implemented in over 10 Cornell engineering courses as well as in a free “massive open online course” or MOOC at edx.org which has an enrollment exceeding 160,000 people from universities and industry. My MOOC has helped thousands of people to not only learn practical simulations in a hands-on manner but also physics through simulations. It has opened a pathway towards the democratization of simulation whereby all engineering graduates would be able to deploy simulations reliably. The MOOC demonstrates how to shift the paradigm in engineering education by embracing two disruptive technologies: simulation and online learning. Considering that now most faculty have experience with online learning due to Covid-19, this is the moment for industry to push universities to leave behind a dated, theory-heavy education model and move towards the next-generation engineering curriculum in which simulation becomes the standard to teach physics on-demand. This would benefit a large number of undergraduate programs and ensure students graduate with real-world skills, empowered and excited to solve practical problems. The US Exascale Computing Project Software Stack: Why It Matters to You Presented By:   Session Time AMERICAS 3:00 – 3:15 PM (GMT -4) Add to Calendar On Demand Register --> Read Abstract The US will deliver its Exascale systems (capable of a billion-billion operations per second) over the next couple of years, enabling a new generation of application codes to deliver fundamentally new simulation and analysis results. At the same time, the underlying tools and libraries that enable these application codes to achieve success will have a much broader impact, enabling improved performance for countless other applications, even those targeted toward workstations and clusters that contain accelerator devices. In this presentation we give a brief overview of the Exascale Computing Project (ECP), then some details about the ECP Software Technology portfolio. We discuss the challenges of preparing for Exascale platforms, which include preparations for accelerated architectures, and highlight opportunities for interaction with US industry. While GPU accelerators have been available for some years, the emergence of new accelerated devices brings new opportunities and challenges. We will discuss ECP efforts to realize performance and portability across devices from Nvidia, AMD and Intel. Additive Manufacturing and Materials Intelligence Presented By:   Session Time On Demand Register --> Read Abstract As Additive Manufacturing (AM) technology evolves, better understanding of the data generated during AM projects becomes vital to realizing its potential. This applies both to empirical data, from production and testing, and to data generated by the various simulation packages that help users to understand process parameters and reduce “trial & error”. Simulation results can help to optimize and calibrate your process. Testing validates simulation and ensures that final parts meet design requirements. You need to capture and use data from both in order to speed your AM development process and certify products at lower cost. GRANTA MI for Additive Manufacturing is focussed on these 3 things; 1)Traceability and capture of data across AM Value Chain 2)Efficient data analytics to enable the technical decision-making process 3)Integration between AM technology and simulation solutions Creating World Class Designs in Record Time with Photonic Inverse Design’ Presented By:   Session Time On Demand Register --> Read Abstract Photonic Inverse Design is changing the game for photonics designers, driving the transition to commercial applications. The innovative technique changes the design methodology from a manual, iterative and lengthy process, to an automated, simulation focused methodology that is producing designs that are better than the best published designs in hours, instead of weeks or months. Ansys Lumerical Photonic Inverse Design uses Lumerical's open source Python API to drive the indiustry leading FDTD simulation. The adotopn of Photonic Inverse Design is doing for photonic design what logic synthesis did for IC design, raising the level of abstraction that designers design at and generating better, larger designs. Data-driven Fast Static On-chip Thermal Solver Presented By:   Session Time On Demand Register --> Read Abstract Accurate prediction of on-chip temperature distribution becomes important for the performance and reliability of upcoming 5G, automotive, and AI chip-package-systems. In particular, a large thermal gradient (the temperature variation across a chip) accelerates electromigration and aging, and also impacts design performance and power. Furthermore, there are usually Tmax (maximum temperature) constraints on junctions of a chip, skin temperature concerns for mobile devices or wearables, and important placement considerations of on-chip thermal sensors for use in dynamic voltage and frequency scaling. However, obtaining an accurate and detailed thermal gradient on-chip is very time-consuming using the finite element method (FEM) or computational fluid dynamics (CFD) technology. Furthermore, there are many different functional scenarios for various applications that users need to identify possible Tmax locations on-chip. Therefore, there is an urgent need in the industry to provide a fast, yet accurate on-chip thermal solution in a chip-package-system or more complicated 3DIC design, which may include multiple chips. This paper proposes a method to use a data-driven DNN-based thermal solver that can be 100-1000x faster depending on the size of the chip compared to traditional FEM-based thermal solvers with the same level of accuracy. Deliver Engineering Grade Light Simulation to Studio Designers with Ansys and Autodesk Presented By:   Session Time On Demand Register --> Read Abstract Autodesk and ANSYS combined forces to create a joint workflow for automotive companies that combines Autodesk’s automotive 3D visualization and virtual prototyping software with ANSYS' physics-based lighting simulation solutions. The combination of Autodesk VRED and ANSYS VRXPERIENCE Light Simulation delivers physics-based engineering-grade light simulation to studio designers. The unique solution empowers the design studio with accurate lighting to enhance photorealistic visualizations, up to the simulation of highly complex optical components such as light guides. Join our webinar and Discover VRXPERIENCE Light Simulation to: •Easily identify lighting quality issues resulting from the optical engineering process •Run Ansys SPEOS-based ray file simulation that is compatible with High-Performance Computing (HPC) Clusters •Explore of a wider range of design possibilities •Bridge the gap between engineering and design in the long run by creating a consistent shared data stream, ensuring data consistency Designing Next Generation Materials for Optimal Processing and Performance using Integrated Computational Materials Engineering Presented By:   Session Time On Demand Register --> Read Abstract Integrated Computational Materials Engineering (ICME) avails a set of computational tools based on fundamental understanding of Materials Science and Engineering principles. This further enables engineers to obtain and optimize the process-structure-property-performance relationships for further exploitation in design, processing and assuring performance of functional parts and products for the industry. Recently, Ansys became active in the area of ICME by leveraging its existing tools as well as building new tools and engaging in research projects within and outside the company. Ansys is developing two variants of tools, the first being a set of tools by which material information could be streamlined into the performance simulation ecosystem at Ansys and the second being another set by which existing simulation tools at Ansys could be used for generating materials information. In order to realize the above-mentioned possibilities, several action items have been pursued. First, the existing CALculation of PHAse Diagram (CALPHAD) techniques have been extended as a function of cooling rates to account for high thermal gradient and cooling rate processes ranging from Casting to Additive Manufacturing (AM) technologies and hybrid technologies such as Castforging. Second, the existing Ansys tools have been shown to simulate existing materials characterization scenarios such as conventional hardness testing, crystal plasticity based mechanical property estimations based on experimental and simulated microstructural evolutions for a variety of cooling rates, AM powder bed heat transfer models and the effect of such heat transfer on delineating design methodologies for optimal processing, performance and combinations of those. Third, a real time simulation methodology would be showcased where instead of combining and collecting data from sensors for validation of simulations, an AM based case study would be shown where the rhs weak form in Finite Element has been computed using sensor data leading to real-time simulation outcomes in the volume which further leads to better computation on evolution of nonlinear material properties as well as paves the way for simulation assisted feedback control systems in AM in the future. The same methodology has been also extended to NISAR earth interior displacement simulations based on surface data from simulated NASA inputs. Fourth, our current ongoing research partnerships in the area of ICME will be explored in greater details alongwith our current ongoing efforts in ICME based understanding of disease causing species and their interactions with nanomedicine. Dynamic Thermal Management with AEDT Icepak 2020R2 Presented By:   Session Time On Demand Register --> Read Abstract Today's mobile electronics like cell phones encounter a diverse application workloads. For example, someone using a cell phone can be browsing for 10 minutes, then watch a movie but may be interrupted by an incoming call etc. These activities put a varying load on the CPU and its subsequent heat dissipation characteristics and temperature imbalances among the different cores. This in turn leads to increased cooling costs and reduced reliability. Dynamic thermal management capability in AEDT Icepak allows users to model the transient temperature response based on user-specified CPU workload profiles. The temperature response under various workload scenario can provide guidance on CPU power management, active/passing cooling design etc. Machine learning and AI can use these temperature responses to construct reduced order models (ROM) that can eventually provide real-time temperature response prediction. Engineering Post-Simulation Analysis in a Web-Centric World Presented By:   Session Time On Demand Register --> Read Abstract Answering engineering questions using modern simulation tools requires the integration of an wide array of data. Sharing actionable knowledge from this growing set of data is increasingly difficult. We present Ansys Nexus, a web-centric tool that embraces the explosion of data to provide interactive and shareable reports that summarize engineering data from a wide set of sources. Nexus has been successfully deployed standalone or integrated into other Ansys tools like Fluent, Workbench, and EnSight. How Extended Reality Changes Visualization of and Interaction with Simulation results Presented By:   Session Time On Demand Register --> Read Abstract In this presentation, we will start from non-realtime Predictive simulation and which problem can be solved especially predicting the final appearance of any product. We will then jump into real-time applications especially talking about what AR/VR and GPU rendering can bring to perceived quality analysis. Material Designer – Multi-Scale Simulation Made Easy Presented By:   Session Time On Demand Register --> Read Abstract Material characterization leads to a significant effort in many companies. This is particularly true if the material can be varied in some way, be it on purpose or not. A classic example are composite materials. There the user can combine different fibers and matrix systems leading to different composite materials. In addition, also the fiber volume fraction plays a key role with respect to stiffness and strength of the resulting material. However, we are not limited to classical composites. For instance, the infill structures in additive manufacturing can also be treated as (meta-)material to ensure an efficient simulation. Also in this case, you have some choices that influence the macroscopic material behavior: you can choose between different (lattice) structures and you can vary the relative density. Experimental testing of all combinations would be inefficient. This is where ANSYS Material Designer aims to come into play. The goal is to provide you with an environment where you can easily investigate a certain microstructure, obtain corresponding macroscopic properties, use them in a macroscopic simulation, and identify how the macroscopic loading impacts the microstructure. In addition, you could also try to optimize the design of the microstructure or the way key parameters of the microstructure vary over the macroscopic part. This all allows to reduce the amount of experimental testing and replace it by virtual material testing, thus obtaining results quicker and cheaper. Materials Data for Simulation Presented By:   Session Time On Demand Register --> Read Abstract This presentation details how accurate and consistent material definitions and properties are important for multiphysics simulations, and how Ansys Materials solutions can provide them. Multiphysics simulation solution for complex SoC and power management IC Presented By:   Session Time On Demand Register --> Read Abstract Multiphysics simulations solution for IC designs Ingraining Simulation into our DNA Presented By:     Session Time On Demand Register --> Read Abstract Cummins has been on a 20+ year journey of driving simulation methods into our product development processes and deliver products that are right the first time and robust to all our customers’ uses. There are several key factors behind this journey that helped ingrain simulation into our DNA and provide an advantage for our company and customers. Multi-Scale Electromagnetic Modeling for Antenna Applications Presented By:   Session Time On Demand Register --> Read Abstract This talk will present finite element methods (FEMs) for multiscale modeling in electromagnetics. The presentation will first go over few key technologies in traditional FEM for tackling multiscale problem. A domain decomposition method is then combined with state-of-art FEM to permit original problem decomposed into multiple disjoint or contacting domains where each domain can be meshed separately. Patient Specific Real Time Coupled System and 3D Hemodynamic enabled by Reduced Order Modeling Presented By:   Session Time On Demand Register --> Read Abstract Cardiovascular disease is currently a major cause of death, and a prevalence of the disease continues to increase globally. Cardiovascular disease includes coronary artery disease, stroke, and pathologies of large arteries. For example, coarctation, aneurysm, or aortic dissections of large arteries present a high risk of mortality. Computer models of large arteries have been developed to help understand the physics of the arteries induced by resident pathologies. Patient-specific 3D model simulations of large arteries can provide useful diagnostic and evaluative information for cardiologists, cardiac surgeons, or other clinicians. For example, patient-specific simulations can non-invasively provide clinicians with relevant data like the velocity of the blood, wall pressure, or wall shear stress of large arteries. Such data allows for the diagnosis of disease and supports surgical or treatment options. Such a 3D models must be embedded inside a system simulation of a peripheral vasculature to provide the necessary unsteady boundary conditions. However, those coupled simulation have always been difficult to setup, converge and maintain for a sufficiently large lapse of time to enable real diagnostic. Moreover, the calculation time require for such embedded 3D simulations are not compatible with a daily practice in clinic. In this paper, we will show both a methodology to successfully compute the aortic arch hemodynamics but also a methodology to build a dynamic Reduce Order Model (ROM) which will enable the derivation of a patient specific model and a real-time usage. The methodology can be described in 6 steps Step 1: A 3D geometry of the aortic arch is extracted from the MRI scan, CT scan, or echocardiogram data obtained for the vascular system of a patient. Step 2: A steady state mass flow rate sweep is done in order to compute a response surface of the pressure drops as function of the pressure at inlet and mass flow rate at every outlet using ANSYS DesignXplorer Step 3: Replace the 3D simulation in the whole vascular system simulation in ANSYS TwinBuilder to generate coherent multiple scenarios for the boundary conditions Step 4: Launch multiple 3D unsteady calculations inside ANSYS Fluent based on that scenarios Step 5: Use the scenario to build a Dynamic ROM of the Full 3D velocity, wall pressure and wall shear stress using TwinBuilder Dynamic ROM Builder Step 6: Optimize the parameters of the vascular system in ANSYS TwinBuilder simulation to retrieve velocity fields results from 2D or 4D MRI scans Finally, TwinBuilder provides a vascular system model that predicts the effect of certain factors like therapeutic substances or exercise on the vascular system of the patient in real-time giving the surgeons an unprecedented insight into the patient health. Process Integration and Design Optimization (PIDO) - the glue and the driver of virtual prototyping Presented By:   Session Time On Demand Register --> Read Abstract For digitalization of virtual prototyping, simulation process integration, parametric modelling and design optimization need to go hand in hand and customer ask for an open and vendor neutral process integration platform – the main driver behind the dynardo acquisition in 2019. Dynardo’s optiSLang PIDO software tools enables customer to integrate ANSYS as well as any third party parametric simulation models from different physical disciplines, to build simulation workflows to be used for calibration, optimization and robust design. After a short introduction of simulation workflow building capabilities applications of model calibration, optimization and robust design at different industries are shown. Process Parameter Optimization for Metal Additive Manufacturing through Simulation Presented By:   Session Time On Demand Register --> Read Abstract ANSYS Additive Science enables users to optimize their machine process parameters via prediction of meltpool dimensions, porosity and microstructure. This can dramatically reduce the time and cost needed to develop new process parameters for metal additive manufacturing machines. Real-time lidar simulation Presented By:   Session Time On Demand Register --> Read Abstract Lidar is one of the main autonomous driving sensors used for obstacle and vehicle detection. We present a physics-based simulation of different types of lidars. The outputs, generated in real time, are point clouds enriched with intensity data and raw waveforms. The implementation leverages GPU acceleration for ray tracing and post-processing. Recent Technology Development for Real-Time Automotive Radar Sensor Simulation Using SBR Ray Tracing Presented By:   Session Time On Demand Register --> Read Abstract Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) increasingly rely on radar sensors for awareness of the dynamic traffic and pedestrian scene in all-weather conditions. With the ongoing aggressive development of millimeter wave radars and their deployment in ADAS/AV systems, there exists a pronounced need for high-fidelity, real-time prediction of their range-Doppler imagery when interrogating complex traffic scenarios. These are large scale electromagnetic (EM) scattering problems where the scenes span tens of thousands of wavelengths, placing them far beyond the reach of matrix-based EM solvers that depend upon sub-wavelength meshing. Such problems are, however, well suited to the ray-tracing methodology of HFSS-SBR+. Modern automotive radars generate imagery at 10 – 30 frames per second. With each frame, the radar issues and observes hundreds of chirps over many combinations of antennas, each capturing hundreds of frequency samples over a 200 – 1000 MHz bandwidth. For this reason, and in spite of its otherwise large-scale capabilities, a standard multi-core implementation of traditional SBR (shooting-and-bouncing rays) method remains roughly one million times too slow. Through a combination of breakthrough algorithmic and hardware accelerations recently developed at ANSYS, we have bridged this performance chasm while retaining the full physics-benefits of SBR. This presentation covers accelerated Doppler processing (ADP) and the key concepts of putting the entire SBR + ADP pipeline on the GPU to realize a composite acceleration factor of over one million and deliver radar simulation rates that, in many cases, meet or exceed the frame rate of actual radar hardware. ROM capabilities within Twin Builder product's line Presented By:   Session Time On Demand Register --> Read Abstract Reduced Order Model (ROM) is a simplification of high-fidelity model that preserves essential behavior and dominant effects, for the purpose of reducing solution time and storage capacity required for the more complex model. As such, it is a key capability to build a winning digital twin strategy. In this presentation, we will present ROM capabilities exposed in Ansys Twin Builder product’s line. Scade Hybrid Presented By:   Session Time On Demand Register --> Read Abstract SCADE Suite is a development environment dedicated to the software design of safety critical systems. It is built around a data-flow synchronous language called Scade, that, as most of the programming languages allows to describe discrete systems. In collaboration with academia, we have proposed a way to extend the language with Ordinary Differential Equations (ODEs) to model continuous and hybrid (continuous and discrete) systems. The approach is based on two key ideas: •divide: ensure a clean separation of discrete and continuous parts of the model •recycle: reuse existing language and compiler architecture as much as possible. The presentation will introduce the language and the main results of the related research work. We will highlight some advantages of our language-based approach compared to Simulink. Time Decomposition Method for Transient Electromagnetic Field Simulation Presented By:   Session Time On Demand Register --> Read Abstract The transient electromagnetic field simulation of electrical machines and electronic transformers with nonlinear materials is usually very time-consuming, since it requires NM matrix solutions with N the number of time steps and M the average number of nonlinear iterations. Parallel computing can be applied to the matrix assembling and matrix solving at each time step to cut down simulation time. However, its parallel scalability is limited. In order to gain much better parallel scalability, a novel HPC technology was developed in terms of the domain decomposition along time-axis, namely time decomposition method (TDM) to solve all time steps or a subdivision of entire time steps simultaneously, instead of solving a transient problem one time step by one time step. This innovation of HPC technology has been granted by US patent office in May 2019.

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Site Map | Ansys

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Oil & Gas Webinar Series | Ansys

ANSYS provides the industry’s most comprehensive suite of physics-based simulation solutions for the oil and gas (O&G) industry. Our well-established software capabilities cover a broad range of O&G applications in onshore and offshore drilling, completion and production. Ansys simulation software meets the accuracy and reliability requirements of simulating complex O&G equipment and systems for real-life performance of subsurface, subsea and topside equipment and operations. In this webinar series, we will explore how Ansys simulation technology is used by the O&G industry to design and analyze a wide number of cutting-edge applications which enable an organization’s digital transformation objectives. Upcoming Webinar Schedule Thermodynamic Characterization of Hydrocarbons June 24, 2020 11 AM EST / 3 PM GMT Thermodynamic modeling of mixtures of hydrocarbons is a challenging area in computational fluid dynamics. Single-component modeling remains fairly straightforward as it uses a unique saturation curve for examining fluids. However, the problem becomes more difficult when one deals with a mixture of two or more components. The photovoltaic thermal (PVT) collector relationship is more complex and harder to manage as the number of components increases. This requires vapor-liquid equilibrium curves at different mixture compositions. As a first step in this direction, Ansys Fluent has introduced the ability to read bubble point and dew point temperatures for a binary mixture to predict the thermodynamic state of the mixture. Presenters:Muhammad Sami Register Webinars on Demand Mixed Flow Regime Modeling in Ansys Fluent In the oil and gas sector, CFD modeling of mixed flow regimes and regime transitions in gas–liquid systems and gas–liquid flows often involves transient patterns, such as slug flow, annular flow, etc. These conditions often occur when more than one flow topology —droplet, bubbly or separated flows — exist. Such mixed flow regimes are more pronounced when the flow path involves bends, junctions and inclines. These flows can often involve regime transitions as well. The ability to predict mixed flows reliably is crucial for flow assurance and nuclear safety. In this webinar, we discuss the recent advances in mixed flow regime modeling in Ansys Fluent, namely AIAD and GenTOP models. We discuss the background and applications of these models, then show examples of each. View on Demand Mixing Tank Modeling in Ansys Fluent Learn how to use Ansys Fluent for simulation of different physical processes that occur in a mixing tank. Various case studies that explain the different modeling options will be presented. Presenters:Sravan Nallamothu, Senior Application Engineer View on demand Watertight Meshing for Oil and Gas Preparing a high-quality computational fluid dynamics (CFD) mesh can be a challenging and very time-consuming task. Ansys Fluent’s watertight geometry meshing workflow greatly reduces hands-on meshing time and enhances efficiency. Supporting both seasoned and novice users, this cutting-edge tool delivers a single-window, task-based workflow and Mosaic-enabled meshing technology. Presenters:Yeong-Yan Perng View on Demand Corrosion Modeling in Ansys Fluent This webinar will cover the fundamentals of modeling corrosion within Ansys Fluent. We will demonstrate the implementation of these concepts with various use cases ranging from single phase to multiphase applications. Presenters: Anchal Jatale, Oil & Gas Industry Lead, Ansys View on demand Recent Advances in Multiphase Modeling in Ansys Fluent Learn about recent innovations in Ansys Fluent that provide the widest range of multiphase models to accurately simulate your toughest challenges. Presenters: Shailesh Ozarkar, Lead Application Engineer, Ansys View on demand Boiling Modeling in ANSYS Fluent Join us for this free webinar that dynamically showcases how ANSYS Fluent provides cutting-edge modeling options for capturing boiling phenomenon. Gain an in-depth understanding of Fluent models. Learn about the newest semi-mechanistic boiling model. Discover how to implement Fluent in your organization with real-world examples and best practices. View on demand ANSYS Fault-Tolerant Meshing for the Oil and Gas Industry Many important and complex simulations involve dirty and non-watertight geometries; creating a good quality mesh is always a challenging part of any such simulation. These complex meshes consume significant engineering time and effort in geometry preparation, largely involving extensive clean-up and repair. Now, ANSYS Fluent includes a fault-tolerant meshing workflow that can simplify and speed meshing for even the dirtiest geometries with no geometry preparation required. Presented by: Vishal Naik Bolnekar Vishal Naik Bolnekar currently leads a pre-processing team at ANSYS. His team supports pre-sale activities for global Enterprise and North American regional accounts. He has approximately 15 years of experience in the engineering simulation industry and has successfully led critical meshing benchmark projects across a wide range of industries and applications. View on demand Introduction to Polymer Processing Simulation Polymers may be processed in different ways, e.g., coating, pressing, squeezing, extrusion, blowmolding and thermoforming, among others. In this webinar, the challenges of modeling these processes will be presented along with workflows for running successful Ansys Polyflow and ANSYS Fluent simulations. Additional materials (case studies, examples and tutorials) will be shared at the end of the presentation. Presented by: Hossam Metwally Hossam Metwally joined Ansys in 2001 and has experience in viscous flow modeling, polymer, rubber and glass flows, as well as free surface flows. Hossam is a regular attendee and presenter at Society of Plastics Engineers ANTEC conference where he has received the best paper award. View on demand Proppant Flow Analysis, Best Practices Proppant transport modeling is a developing area of research. Well performance relies on open fractures, which require the proper transport of proppant over long distances. Numerical models help in determining key factors such as proppant placement, injection rate, proppant material and other geometrical considerations. However, it is critical to use appropriate models for particle drag and lift, as well as for turbulence and meshing, in order to validate the field data. This webinar will demonstrate, in detail, how to prepare these models for simulation to achieve the most accurate results. Presented by: Muhammad Sami Muhammad Sami joined Ansys in 2001 and has expertise is in CFD multiphase reacting flows, particulate flows, dense flows, combustion and emissions. Before Ansys, he received his Ph.D. in mechanical engineering from Texas A&M University. View on demand Particulate Modeling with RockyDEM Many industries have to deal with the challenges of particle-laden flow, including oil and gas, agroindustry, pharmaceuticals, mining and others. Ansys CFD offers the most comprehensive particulate flow solutions for analysts and engineers aiming for high-fidelity detailed design or performance improvement of product and processes. Attend this webinar to learn how the coupling of Ansys CFD with Rocky DEM from ESSS can help you model complex flows with or without heat transfer where fluid details are needed. Key topics include modeling particle shapes, large particles, particle break-up, separation, segregation and mixing. Presented by: Marcus Reis, VP, ESSS View on demand Raise Your Productivity using ANSYS Fluent Single-Window, Task Based Workflow in 2019 R1 View this on-demand webinar to explore how to optimize your workflow and increase engineering productivity with the exciting new Ansys Fluent experience in Ansys 2019 R1. Get an exclusive look at live demonstrations and success stories from early users. Learn how Fluent reduces hands-on time and raises efficiency with a single-window task-based workflow, Mosaic-enabled meshing technology, a new Fluent user interface (UI) with drag-and-drop case loading and post-processing object display … and more. Presented by: Y.Y. Perng, Lead Application Engineer View on demand Directly Enter Expressions to Speed, Simplify Simulations in ANSYS Fluent 2019 R1 Learn about the exciting Fluent Expression Language capability included in ANSYS 2019 R1. Have you ever tried to specify a parabolic inlet velocity profile or implement a simple thermostat-like heating/cooling boundary condition, but shied away because both require ANSYS Fluent user-defined functions (UDFs)? With the new Fluent Expression Language, UDFs will no longer be a barrier to these simple but essential boundary conditions. This on-demand webinar will include live demonstrations to get you started using Fluent Expressions. Learn how it can shorten your learning curve and expand the scope of your CFD simulations. View on demand Erosion Analysis in Ansys Fluent In this webinar, we will discuss erosion modeling and erosion mesh deformation capabilities in Ansys Fluent. Material erosion under a sand–liquid flow is a serious problem in many engineering applications, especially oil and gas. The ability to predict the progress of erosion in pipelines is critical. The erosion process is complex and often depends on many factors, such as fluid parameters, particle parameters, impact parameters and material parameters. Depending upon the pipe wall material and the solid particle, erosion could be high, leading to material loss and geometry deformation. In some cases, the shape deformation due to erosion can change the flow behavior and, as a result, the erosion rate. Thus, it is important to be able to model shape deformation. Presented by: Mohammad Elyyan, Senior Application Engineer, ANSYS View on demand Reduced Order Models (ROMs) for Simulation Democratization and Digital Twins CFD analysis generally takes a long time and requires significant computational resources, which makes it difficult to perform real-time monitoring or predictive maintenance. In addition, prior knowledge/experience is required to set up CFD simulations and extract meaningful results. Reduced order models (ROMs) can significantly ANSYS provides the industry’s most comprehensive suite of physics-based simulation solutions for the oil and gas (O&G) industry. Our well-established software capabilities cover a broad range of O&G applications in onshore and offshore drilling, completion and production. Ansys simulation software meets the accuracy and reliability requirements of simulating complex O&G equipment and systems for real-life performance of subsurface, subsea and topside equipment and operations. In this webinar series, we will explore how Ansys simulation technology is used by the O&G industry to design and analyze a wide number of cutting-edge applications which enable an organization’s digital transformation objectives. Upcoming Webinar Schedule Thermodynamic Characterization of Hydrocarbons June 24, 2020 11 AM EST / 3 PM GMT Thermodynamic modeling of mixtures of hydrocarbons is a challenging area in computational fluid dynamics. Single-component modeling remains fairly straightforward as it uses a unique saturation curve for examining fluids. However, the problem becomes more difficult when one deals with a mixture of two or more components. The photovoltaic thermal (PVT) collector relationship is more complex and harder to manage as the number of components increases. This requires vapor-liquid equilibrium curves at different mixture compositions. As a first step in this direction, Ansys Fluent has introduced the ability to read bubble point and dew point temperatures for a binary mixture to predict the thermodynamic state of the mixture. Presenters:Muhammad Sami Register Webinars on Demand Mixing Tank Modeling in Ansys Fluent Learn how to use Ansys Fluent for simulation of different physical processes that occur in a mixing tank. Various case studies that explain the different modeling options will be presented. Presenters:Sravan Nallamothu, Senior Application Engineer View on demand Watertight Meshing for Oil and Gas Preparing a high-quality computational fluid dynamics (CFD) mesh can be a challenging and very time-consuming task. Ansys Fluent’s watertight geometry meshing workflow greatly reduces hands-on meshing time and enhances efficiency. Supporting both seasoned and novice users, this cutting-edge tool delivers a single-window, task-based workflow and Mosaic-enabled meshing technology. Presenters:Yeong-Yan Perng View on Demand Corrosion Modeling in Ansys Fluent This webinar will cover the fundamentals of modeling corrosion within Ansys Fluent. We will demonstrate the implementation of these concepts with various use cases ranging from single phase to multiphase applications. Presenters: Anchal Jatale, Oil & Gas Industry Lead, Ansys View on demand Recent Advances in Multiphase Modeling in Ansys Fluent Learn about recent innovations in Ansys Fluent that provide the widest range of multiphase models to accurately simulate your toughest challenges. Presenters: Shailesh Ozarkar, Lead Application Engineer, Ansys View on demand Boiling Modeling in ANSYS Fluent Join us for this free webinar that dynamically showcases how ANSYS Fluent provides cutting-edge modeling options for capturing boiling phenomenon. Gain an in-depth understanding of Fluent models. Learn about the newest semi-mechanistic boiling model. Discover how to implement Fluent in your organization with real-world examples and best practices. View on demand ANSYS Fault-Tolerant Meshing for the Oil and Gas Industry Many important and complex simulations involve dirty and non-watertight geometries; creating a good quality mesh is always a challenging part of any such simulation. These complex meshes consume significant engineering time and effort in geometry preparation, largely involving extensive clean-up and repair. Now, ANSYS Fluent includes a fault-tolerant meshing workflow that can simplify and speed meshing for even the dirtiest geometries with no geometry preparation required. Presented by: Vishal Naik Bolnekar Vishal Naik Bolnekar currently leads a pre-processing team at ANSYS. His team supports pre-sale activities for global Enterprise and North American regional accounts. He has approximately 15 years of experience in the engineering simulation industry and has successfully led critical meshing benchmark projects across a wide range of industries and applications. View on demand Introduction to Polymer Processing Simulation Polymers may be processed in different ways, e.g., coating, pressing, squeezing, extrusion, blowmolding and thermoforming, among others. In this webinar, the challenges of modeling these processes will be presented along with workflows for running successful Ansys Polyflow and ANSYS Fluent simulations. Additional materials (case studies, examples and tutorials) will be shared at the end of the presentation. Presented by: Hossam Metwally Hossam Metwally joined Ansys in 2001 and has experience in viscous flow modeling, polymer, rubber and glass flows, as well as free surface flows. Hossam is a regular attendee and presenter at Society of Plastics Engineers ANTEC conference where he has received the best paper award. View on demand Proppant Flow Analysis, Best Practices Proppant transport modeling is a developing area of research. Well performance relies on open fractures, which require the proper transport of proppant over long distances. Numerical models help in determining key factors such as proppant placement, injection rate, proppant material and other geometrical considerations. However, it is critical to use appropriate models for particle drag and lift, as well as for turbulence and meshing, in order to validate the field data. This webinar will demonstrate, in detail, how to prepare these models for simulation to achieve the most accurate results. Presented by: Muhammad Sami Muhammad Sami joined Ansys in 2001 and has expertise is in CFD multiphase reacting flows, particulate flows, dense flows, combustion and emissions. Before Ansys, he received his Ph.D. in mechanical engineering from Texas A&M University. View on demand Particulate Modeling with RockyDEM Many industries have to deal with the challenges of particle-laden flow, including oil and gas, agroindustry, pharmaceuticals, mining and others. Ansys CFD offers the most comprehensive particulate flow solutions for analysts and engineers aiming for high-fidelity detailed design or performance improvement of product and processes. Attend this webinar to learn how the coupling of Ansys CFD with Rocky DEM from ESSS can help you model complex flows with or without heat transfer where fluid details are needed. Key topics include modeling particle shapes, large particles, particle break-up, separation, segregation and mixing. Presented by: Marcus Reis, VP, ESSS View on demand Raise Your Productivity using ANSYS Fluent Single-Window, Task Based Workflow in 2019 R1 View this on-demand webinar to explore how to optimize your workflow and increase engineering productivity with the exciting new Ansys Fluent experience in Ansys 2019 R1. Get an exclusive look at live demonstrations and success stories from early users. Learn how Fluent reduces hands-on time and raises efficiency with a single-window task-based workflow, Mosaic-enabled meshing technology, a new Fluent user interface (UI) with drag-and-drop case loading and post-processing object display … and more. Presented by: Y.Y. Perng, Lead Application Engineer View on demand Directly Enter Expressions to Speed, Simplify Simulations in ANSYS Fluent 2019 R1 Learn about the exciting Fluent Expression Language capability included in ANSYS 2019 R1. Have you ever tried to specify a parabolic inlet velocity profile or implement a simple thermostat-like heating/cooling boundary condition, but shied away because both require ANSYS Fluent user-defined functions (UDFs)? With the new Fluent Expression Language, UDFs will no longer be a barrier to these simple but essential boundary conditions. This on-demand webinar will include live demonstrations to get you started using Fluent Expressions. Learn how it can shorten your learning curve and expand the scope of your CFD simulations. View on demand Erosion Analysis in Ansys Fluent In this webinar, we will discuss erosion modeling and erosion mesh deformation capabilities in Ansys Fluent. Material erosion under a sand–liquid flow is a serious problem in many engineering applications, especially oil and gas. The ability to predict the progress of erosion in pipelines is critical. The erosion process is complex and often depends on many factors, such as fluid parameters, particle parameters, impact parameters and material parameters. Depending upon the pipe wall material and the solid particle, erosion could be high, leading to material loss and geometry deformation. In some cases, the shape deformation due to erosion can change the flow behavior and, as a result, the erosion rate. Thus, it is important to be able to model shape deformation. Presented by: Mohammad Elyyan, Senior Application Engineer, ANSYS View on demand Reduced Order Models (ROMs) for Simulation Democratization and Digital Twins CFD analysis generally takes a long time and requires significant computational resources, which makes it difficult to perform real-time monitoring or predictive maintenance. In addition, prior knowledge/experience is required to set up CFD simulations and extract meaningful results. Reduced order models (ROMs) can significantly speed up the process and make simulations easier. A ROM is a simplified version of a high-fidelity computational model that preserves essential behavior and dominant effects while reducing the solution time and computational storage capacity required. In this webinar, a series of ROMs will be shown, along with the workflow to create the ROMs. These examples will highlight how ROMs can be used by operators/non-simulation experts to perform ‘what-if’ analysis within seconds without compromising on accuracy. Presented by: Anchal Jatale, Oil & Gas Industry Lead, ANSYS Anchal Jatale is currently serving as North America Oil & Gas Industry lead for Ansys. He has 10+ years of experience in CFD modeling and simulations. For the past couple years, he has been spearheading Ansys digital twin engagements in the O&G industry. His expertise is in reduced order modeling, system modeling, reacting flow, combustion and multiphase flow. Prior to joining Ansys, he received his doctorate in chemical engineering from the University of Utah. View on demand speed up the process and make simulations easier. A ROM is a simplified version of a high-fidelity computational model that preserves essential behavior and dominant effects while reducing the solution time and computational storage capacity required. In this webinar, a series of ROMs will be shown, along with the workflow to create the ROMs. These examples will highlight how ROMs can be used by operators/non-simulation experts to perform ‘what-if’ analysis within seconds without compromising on accuracy. Presented by: Anchal Jatale, Oil & Gas Industry Lead, ANSYS Anchal Jatale is currently serving as North America Oil & Gas Industry lead for Ansys. He has 10+ years of experience in CFD modeling and simulations. For the past couple years, he has been spearheading Ansys digital twin engagements in the O&G industry. His expertise is in reduced order modeling, system modeling, reacting flow, combustion and multiphase flow. Prior to joining Ansys, he received his doctorate in chemical engineering from the University of Utah. View on demand

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Engineering Simulation Software Products | Ansys Web Page Products

Engineering What's Next Tons of new features and enhancements have been added to Ansys products to improve computer aided engineering (CAE) capabilities, helping you streamline product development life cycles and boost product performance. SEE WHAT'S NEW IN ANSYS 2020 R2 Which Ansys products will best fit your needs? Not sure which solver to choose for your initiative? Whether you’re looking for Advanced Magnetic Modeling, Explicit Dynamics, Fluid- Structure Interaction, Digital Twins and every solution in between…this handy guide will provide a capabilities matrix of Ansys products. DOWNLOAD ANSYS CAPABILITIES MATRIX Products from A - Z Our innovative products are built to meet all your essential business needs -- and evolve as your business needs grow. A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | -->

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Data Subject Rights Policy | ANSYS

Last updated 30 April 2018 1. Data Subject Rights. Where ANSYS processes personal data about individuals (including personal data of customers, contacts, employees, other workers and others), certain data protection rights are provided under data protection laws. An individual may exercise these rights by making a request to ANSYS (a "Data Rights Request"). Data subject rights (outlined more fully in Section 9, below) include: 1.1 Access to a copy of the personal data retained by ANSYS; 1.2 Erasure of personal data retained by ANSYS (this right is also referred to as the "right to be forgotten"); 1.3 Ceasing processing activities of personal data by or behalf of ANSYS based on some objection; 1.4 Rectification (correction) of personal data retained by ANSYS; 1.5 Restriction of the processing activities for personal data by ANSYS; 1.6 Portability of personal data from ANSYS to another entity; 1.7 Excluding the individual from automated decision-making by ANSYS; and 1.8 Removing the individual from any direct marketing by ANSYS. The details outlined below describe how ANSYS, as a data controller (the entity determining the purpose and manner in which data is processed), will respond to any Data Rights Requests. 2. Responsibility to respond to a Data Rights Request 2.1 The data controller of an individual's personal data is primarily responsible for responding to a Data Rights Request and for helping the requestor to exercise their rights under applicable data protection laws. For example, where an employee makes a Data Rights Request to ANSYS, ANSYS is the data controller for the personal data held and processed about the employee in the employment relationship. 2.2 Although ANSYS does not currently offer products and services for which ANSYS acts as a data processor, if ANSYS processes an individual's personal data as a data processor, such as on behalf of a customer who is the data controller, ANSYS must promptly inform the data controller of the Data Rights Request and provide reasonable assistance to help the requestor exercise his or her rights in accordance with the data controller's duties under applicable data protection laws. 3. Personal data ANSYS shares with third parties 3.1 If ANSYS shares personal data with third parties (such as data processors), it is ANSYS' responsibility to inform those third parties of any Data Rights Request to rectify, delete, or restrict personal data unless it would involve disproportionate effort or it is impossible. 3.2 If requested, ANSYS must provide details of those third parties to which a requestor's personal data has been disclosed. 4. How to make a Data Rights Request 4.1 Any Data Rights Requests, as outlined by this policy, may be directed to privacy@ansys.com. 4.2 If, as an ANSYS employee, you receive a Data Rights Request from another ANSYS employee, former employee, customer, or others the request should immediately be sent to the ANSYS Data Privacy Officer at privacy@ansys.com, together with the date on which the request was received and any other details provided by the requestor. 4.3 Any questions regarding Data Rights Requests should be directed to the ANSYS Data Privacy Officer at privacy@ansys.com. 5. Verification process 5.1 The Data Privacy Officer or others who may assist in the process will make an initial assessment of any Data Rights Request to assess whether ANSYS is the data controller or a data processor and will verify that the request is valid. Any Data Rights Request must be made by the individual about whom the personal data pertains and verification of identity may be required. 5.1.1 If it is determined that a customer or other third party is the data controller in relation to a Data Rights Request, ANSYS will notify the appropriate data controller of the request as soon as possible and will assist the data controller with complying with such request (in accordance with any contract terms or other obligations outlined by applicable data protection law). 5.1.2 If it is determined that ANSYS is the data controller in relation to a Data Rights Request, the requestor will be contacted in writing to confirm receipt of the request and seek confirmation of identity (if not already validated). 5.2 Where ANSYS is not exempt under applicable data protection laws from fulfilling a Data Rights Request, and following receipt of any further information needed to satisfy the request, ANSYS will respond to the request as outlined below. 6. Exemptions to a Data Rights Request 6.1 A data controller may decline to act on a Data Rights Request if the request is excessive and/or manifestly unfounded (for example because of repeated requests for the same data). Where ANSYS is permitted to decline a request, ANSYS must be able to demonstrate that the request is excessive and/or manifestly unfounded. 6.2 In some cases, specific additional exemptions may apply. Where specific exemptions apply to particular Data Subject Rights, these exemptions are more fully explained below. 6.3 If ANSYS is exempt from the requirement of fulfilling a Data Rights Request, ANSYS will notify the requestor that it intends to decline the request and the basis for the exemption. 7. Timeframe for responding to Data Rights Requests 7.1 Data Subject Requests must usually be responded to without undue delay and no later than one (1) month following receipt of the request. Where a request is particularly complex, additional time may be required. 7.2 Where a request cannot be completed in the typical timeframe, ANSYS is entitled to extend the response period by up to two (2) additional months provided ANSYS gives the requestor notice within the original timeframe of the intent to respond and the reason for the delay. 8. Fee for Data Rights Requests 8.1 ANSYS is not permitted to charge for responding to a Data Rights Request unless the request is determined excessive and/or manifestly unfounded or ANSYS is otherwise exempt from the obligation to act on the request (as outlined above). In such cases and where ANSYS agrees to respond to a request, a reasonable fee may be charged based on the administrative costs of providing the information or taking the action requested. 9. Data Rights Requests in more detail 9.1 Requests for access to personal data The right of access: Right of an individual to obtain confirmation of whether a data controller processes personal data about him or her and, if so, to be provided with the details of the personal data processed and specific aspects of processing activities related to such personal data, and to receive a copy of such details. 9.1.1 Information to be provided in response to a request 9.1.1.1 An individual is entitled to request a copy of the personal data about him or her held and being processed by a data controller. Such data must be provided in intelligible form. 9.1.1.2 Information provided in response to a request should include: (i) A description of the personal data and categories of personal data concerned; (ii) The estimated period for which the personal data will be stored; (iii) The purposes for which the personal data is being held and processed; (iv) The recipients or types of recipients to whom the data is, or may be, disclosed by the data controller; (v) Confirmation of the individual's right to request rectification or deletion of the personal data or to restrict or object to processing of the data; (vi) Confirmation of the individual's right to lodge a complaint with a competent data protection authority; (vii) Details about the source of the personal data if it was not collected from the individual; (viii) Details about whether the personal data is subject to automated decision-making (including profiling); and (xi) Where personal data is transferred from the European Economic Area to a country outside of the European Economic Area, the appropriate safeguards implemented by the data controller related to such transfers in accordance with applicable data protection laws. 9.1.2 Format of requests 9.1.2.1 An access request does not require any prescribed format or reference to data protection law to qualify as a valid request, although this can be helpful in identifying the type of request. 9.1.2.2 An access request does not need to be made in writing but it is helpful for record-keeping purposes and to clarify the request. If made in writing, the requestor should provide an email address and confirmation of whether the data requested can be sent via email (or otherwise specify preferred means by which the data may be received). 9.1.2.3 Requests made electronically (e.g. by email) may be responded to electronically (in a commonly used format, such as by attaching pdf documents to an email) unless the individual stipulates otherwise (such as by requesting the data be provided orally or by postal service). 9.1.3 Exemptions 9.1.3.1 ANSYS will not decline to comply with an access request unless it can demonstrate that it is not in the position to identify the requestor or it is otherwise exempt from its obligations to comply (as outlined in Section 6). 9.2 Requests to rectify personal data The right to rectification: Right of an individual to obtain rectification, without undue delay, of inaccurate personal data a controller may process about him or her. 9.2.1 Rectification by ANSYS- If ANSYS holds inaccurate or incomplete data about an individual, the individual is entitled to request that the data is rectified. 9.2.2 Rectification by third parties- If ANSYS rectifies an individual's data in response to a request, ANSYS will seek to notify third parties with whom ANSYS has shared this data (i.e. data processors). 9.2.3 Supplementary statements to complete information- If a request to rectify data involves ensuring the data is complete, ANSYS may consider including a statement made by the requestor to provide the complete data. 9.3 Requests to delete personal data ("right to be forgotten") The right to erasure: Right of an individual to require a controller to delete personal data about him or her on specific grounds – for example, where the personal data is no longer necessary to satisfy the purposes for which it was collected. 9.3.1 Circumstances in which right to erasure may apply An individual may request that a data controller delete their personal data in the following circumstances: 9.3.1.1 The personal data is no longer necessary for the purpose for which it was collected, used or otherwise processed; 9.3.1.2 The personal data was unlawfully processed by data controller; 9.3.1.3 Processing occurred on the basis of consent from the individual and they withdraw consent (and no other legitimate grounds for processing the data exists); 9.3.1.4 The individual objects to the processing (see below) and no overriding legitimate grounds exist for processing the data; 9.3.1.5 The personal data needs to be deleted to comply with the data controller's legal obligations; and/or 9.3.1.6 The personal data was collected in connection with services offered on the data controller's website. 9.3.2 Erasure of personal data by third parties 9.3.2.1 If ANSYS deletes an individual's data in response to a request, ANSYS will seek to notify third parties with whom ANSYS has shared this data (i.e. data processors). 9.3.2.2 It is unlikely that ANSYS will have made personal data public but in this case and if obligated to delete the personal data pursuant to a Data Rights Request, ANSYS will also take reasonable steps, including technical measures (taking into account available technology and the cost of implementation), to inform other controllers storing, using or otherwise processing the personal data of this request for deletion, including deletion of any links to, copies or replication of this personal data. 9.3.3 Exemptions 9.3.3.1 In addition to the general exemptions outlined in Section 6, ANSYS is exempt from the obligation to delete personal data where the processing of the data is necessary for: (i) Compliance with ANSYS' legal obligations; (ii) Establishing, exercising or defending legal claims; (iii) Scientific, historical or statistical purposes, and where erasure of the data would make this processing impossible or seriously impair it; (v) Public interest reasons including (1) performance of a task carried out in the public interest, (2) exercise of official authority vested in ANSYS, or (3) for public health reasons or archiving in the public interest (although these exemptions are unlikely to apply to ANSYS); and/or (vi) Exercising the right of freedom of expression and information. 9.4 Right to object to processing The right to object: Right of an individual to object, on grounds related to his or her particular situation, to a controller's processing of personal data about him or her, if processing is based on the legitimate interests of the controller. 9.4.1 Circumstances in which individuals can object to processing 9.4.1.1 If ANSYS relies upon the grounds that use, storage or processing of personal data is in its legitimate interests, an individual may object to that processing. 9.4.1.2 Individuals can also object to processing where such processing is required to perform a task in the public interest or to exercise an official authority vested in the controller. 9.4.2 Exemptions 9.4.2.1 In addition to the general exemptions outlined in Section 6, ANSYS is exempt from the obligation to cease processing of personal data following an objection if: (i) ANSYS can demonstrate compelling legitimate interests for processing the data that override the interests, rights and freedoms of the individual; (ii) The processing is required to establish, exercise or defend a legal claim; and/or (iii) The processing is for scientific, historical or statistical purposes carried out in the public interest. 9.5 Right to object to direct marketing The right to object to direct marketing: Right of an individual to object to direct marketing, including profiling related to direct marketing. 9.5.1 ANSYS will seek to stop using personal data for direct marketing if it receives such a request from customers, partners, and others. ANSYS is unlikely to send direct marketing communications to employees and other workers in the context of their employment relationship or engagement. 9.6 Right to restriction The right to restriction: Right of an individual to require a controller to restrict processing of personal data about her or her on specific grounds. 9.6.1 ANSYS will consider requests to restrict processing, although this is less likely to apply in the employment relationship (and/or the relationship with other workers). 9.6.2 Individuals may seek a restriction on ANSYS' processing of their personal data where, for example, they await a response to their request for access to their personal data. 9.7 Right to data portability The right to data portability: Right of an individual to receive his or her personal data from a controller in a structured, commonly used and machine-readable format in order to transfer that data to another controller, where the processing is 1) based on the consent of the individual, and 2) carried out by automated means. 9.7.1 ANSYS will consider requests to exercise the right of data portability, although this is less likely to apply in the employment relationship (and/or the relationship with other workers). 9.8 Right not to be subject to automated decision-making (including profiling) The right not to be subject to automated decision-making: Right of an individual to object to an automated decision made about the individual which has a legal or other similar effect on the individual. Individuals can ask for manual, human review in the decision-making process. 9.8.1 ANSYS will consider requests to perform a human review, rather than using automated decision-making, although this is much less likely to apply in the employment relationship (and/or the relationship with other workers). blockquote p { color: #222; } blockquote { border: none; margin-left: 40px; } p { font-family: sans-serif; font-size: .9rem; }

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Aerospace & Defense Webinar Series | Ansys

The aerospace and defense (A&D) industry has been at the leading edge of the development and adoption of simulation technology since the introduction of computerized tools. The reason is simple: It works in a high-reward/high-risk design space, in which the cost of failure is too high. An engineering success like the Space Shuttle’s first manned flight would have been impossible without the extensive use of reliable and accurate computer simulations that guaranteed all systems and components were working correctly. In this webinar series, we will explore how ANSYS simulation technology is used by the A&D industry to design and analyze a wide number of cutting-edge applications, and how simulation can help make these products better and safer. Upcoming Webinars Title: Predicting Laminar-Turbulent Transition with Low-Cost Methods Wed, Oct 14th, 2020 11:00 a.m. EST The reliable prediction of laminar-turbulent transition is one of the key physics challenges in the simulation and design of aeronautical components and systems. Transition can have a substantial effect on overall performance and safety margins of airplanes. Historically, transition prediction was based on solving stability equations, which track the evolution of instability modes to the point of non-linear breakdown. Even more fundamental — and thereby substantially more expensive — are methods based on non-linear stability analysis or sufficiently resolved LES/DNS. Ansys’ development group has focused on the opposite end of the methods spectrum — namely RANS-based approaches. These add minimal computational expense to costly CFD simulations, which are fully compatible with highly parallelized solver technology. This webinar will spotlight such methods and discuss the latest extension of the underlying LCTM (Local-Correlation-based Transition Modeling) concept to an algebraic formulation for the aerospace and defense industry. Register   Analyzing Quadcopter Drone Propeller Noise Using Ansys CFD Wed Oct 28th, 2020 11:00 a.m. EST Learn how to use Ansys Fluent to simulate the noise produced by a generic four-bladed quadcopter drone. Discover how sound analysis tools from Ansys VRXPERIENCE SOUND can be applied to the acoustic results to help assess psychoacoustic parameters associated with the perceived sounds. Register   A Guided, Fluent Meshing Workflow for the A&D Industry Wed Nov 11th, 2020 11:00 a.m. EST This webinar will explore the exciting new enhancements to Ansys Fluent meshing workflows featured in the Ansys 2020 R2. Through live demonstrations, discover how engineers from the aerospace and defense industries can raise their efficiency with task-based workflows, Mosaic-enabled meshing technology and a streamlined user interface to deliver more accurate results in less time. Register   Webinars on Demand Better Designs for Supersonic Business Jets Learn how Ansys is helping the A&D industry prepare a new chapter in supersonic commercial aircraft design. This presentation summarizes external aero nearfield sonic boom prediction on the NASA X-59 geometry as presented at the AIAA Sonic Boom workshop. We also discuss the Ansys supersonic panel flutter capability. Comparisons to NASA wind tunnel data are included. View on Demand   Overset Meshing Technology for the A&D Industry A common difficulty in simulating CFD problems with large relative motion between components is how to adequately handle the mesh deformation. These problems have largely been handled through complicated remeshing or mesh smoothing methods. Overset meshing provides an alternative approach to these problems. Additionally, overset meshing may be useful for certain geometries that may be better represented by separate component meshes or for design exploration studies involving repetitive reconfiguration of parts. In this webinar, we discuss the basics of overset meshing in Ansys Fluent and present best practices. We will also review recent validation studies and novel example cases for external aerodynamics, projectile motion, store separation and marine applications. View on Demand   Entering a New Era: Using Simulation Technology for Aircraft Electrification Join us for this free webinar that provides a detailed look at how cutting-edge simulation technology is radically advancing aircraft electrification. You will learn how pervasive engineering simulation aids in cost reduction and increased product reliability through digital exploration during the design and operation phases of product development cycle. Additionally, this webinar discusses simulation technologies that will help you model and develop electric aircraft components. Learn how to use cutting-edge simulation solutions to slash development costs and boost product reliability. Understand how to conduct in-depth digital exploration during key product development cycle phases. Discover the latest tools and techniques for modeling and creating next-generation electric aircraft components. View on Demand  Improving Spacecraft Fuel Tank Design: Reducing Sloshing in Rockets Join us for this free webinar that dynamically showcases ANSYS’ capabilities for simulating the physics of sloshing, including advanced preprocessing tools for geometry discretization (ANSYS SpaceClaim and ANSYS Fluent). Additionally, it spotlights ANSYS’ strong portfolio of solution methods for modeling turbulent multiphase flows and discusses insightful post-processing tools for handling flow physics (ANSYS EnSight). Lastly, the webinar applies selected real-world case studies, including examining the behavior of fuel sloshing within a spacecraft’s tank during launch and while in low-Earth orbit flight. Learn how to simulate the physics of sloshing with sophisticated preprocessing tools for geometry discretization. Discover powerful simulation solutions for modeling turbulent multiphase flows. Harness cutting-edge post-processing tools for effectively handling flow physics. View on Demand Radically Improving Engineering Productivity in the Aerospace and Defense Industry With ANSYS Fluent 2020 R1 This cutting-edge webinar explores how aerospace and defense industry engineers will significantly improve their productivity with exciting new enhancements featured in ANSYS Fluent’s 2020 R1 release. Through live demonstrations and success stories from early users, you will learn how Fluent substantially reduces hands-on development time and drastically boosts efficiency with a single-window, task-based workflow and a dynamic Mosaic-enabled meshing technology. Additionally, real-world case studies will highlight how Fluent’s upgraded proprietary numerics make tackling even the most challenging hypersonic problems seem easy. Join us for this free webinar to learn how Fluent can take your day-to-day productivity to the next level. Learn how Mosaic meshing technology combines the ease of automated meshing with the efficiency and accuracy of flow-aligned grids. Understand how Fluent's new proprietary numerics stabilize and accelerate convergence for hypersonic flows. Discover how Fluent's new adjoint workflow can automate your aerodynamic shape optimization problems. View on demand Unstructured Meshing Workflows for the Aerospace and Defense Industries We will explore how the aerospace and defense industries can utilize ANSYS technologies for automated unstructured meshing workflows, including: CAD Import and geometry preparation capabilities in ANSYS SpaceClaim Watertight geometry workflow for task-based automated meshing for external flows Fault tolerant meshing workflow for task-based automated meshing of models containing "dirty" CAD: using wrapper technology to speed complex meshing tasks Validation examples of the new Mosaic Poly-Hexcore mesh topology Presented by: Andy Wade Andy Wade is a technical program manager in our meshing development unit. He has been with ANSYS for 14 years, having spent 13 years in technical services as an engineer. He has extensive experience working with CFD analysts and method developers using ANSYS software in a wide range of application areas with a focus on the aerospace and defense industries. View on demand Aircraft Engine Icing Recent events of high-altitude turbofan engine malfunctions characterized by sudden power loss and flameouts have been attributed to ice crystal formation in the compressor core. The understanding of ice accretion on rotor/stator blades is paramount and needs to be accounted for and integrated into the gas turbine design process. Designing optimal anti/de-icing systems requires detailed understanding of complex icing phenomena and their interaction with air flow and ingested particles. Regulatory certification processes are often underpinned with expensive ice tunnel and flight tests with limited data points. High-fidelity CFD/icing models can help engineers develop a better understanding of complex icing processes and design better systems at a fractional cost. ANSYS icing solutions empower engineers with high fidelity CFD/icing models to account for ice accretion and flow interactions early in the design phase in a seamless manner while harnessing the power of high-performance computing. Attend this webinar to get an overview of ANSYS icing solutions with a focus on ice crystal formation in turbomachinery compressors. Presenters: Vinod Rao is a Senior Application Engineer at ANSYS, where he has been working for over six years on advanced aerospace, turbomachinery and automotive applications. His main areas of expertise include aeromechanics, aircraft icing, turbomachinery applications and aeroacoustics. Shezad Nilamdeen is a Senior Developer at ANSYS. He has been working in CFD and turbomachinery icing physics for 10 years. He is the ANSYS representative and contact for the Engine Icing Working Group. Shezad holds a Masters degree in Mechanical Engineering from McGill University. View on demand Thermal FSI of a Sounding Rocket Through Atmosphere Sounding rockets frequently contain scientific equipment that needs to survive the thermal consequences of re-entering the Earth’s atmosphere at hypersonic velocities. Traditional thermal protection systems have been designed using uncoupled simulation methods that consider the exterior aerodynamic heating and the interior thermal behavior separately, but this may cause simulation results to be incomplete and even misleading. Join us for our upcoming webinar to discover how fluid–structure interaction (FSI) can provide a better understanding of thermal performance in aerospace and defense engineering This webinar will consider a typical sounding rocket with simplified internal components subjected to atmospheric re-entry aerodynamic conditions. It will illustrate the capabilities and workflow approaches that can be used to evaluate the thermal performance using ANSYS structural and CFD simulation tools connected via the Ansys Systems Coupling environment. Presented by: Walter Schwarz, PhD Walter Schwarz is an engineering simulation expert with over 30 years of experience in the areas of flow modeling, heat transfer and turbulence. He is a lead application engineer for the ANSYS Customer Excellence (ACE) team. Dr. Schwarz received his Ph.D. in mechanical engineering (thermosciences group) from Stanford University. Before joining Fluent Inc. in 1996, Dr. Schwarz worked at Westinghouse in the nuclear industry, and was an assistant professor of mechanical engineering at Stevens Institute of Technology. View on demand The New Fluent Experience with Mosaic Meshing for the Aerospace and Defense Industries We will explore how the aerospace and defense industries can optimize their current workflow and increase productivity with exciting new enhancements in the 19.2 release of ANSYS Fluent. Through live demonstrations and success stories from early users, learn how Fluent reduces hands-on time and raises efficiency with a single-window, task-based workflow and Mosaic-enabled meshing technology: Watertight geometries can be prepped and meshed in a single-window Fluent interface. Task-based workflow guides you through the simulation process by presenting best practices in an organized interface. New users learn faster, while experienced analysts gain efficiency. Mosaic uses high-quality polyhedra to combine any type of boundary layer mesh with autogenerated hex mesh Presented by: Luke Munholand, PhD Luke Munholand, Ph.D. is a lead application engineer at ANSYS. For more than 14 years he has provided technical guidance to customers who seek maximum value for their simulation effort. Luke specializes in computational fluid dynamics for the defense and biotechnology areas. View on demand Addressing the Challenges of the Design of Hypersonic Vehicles with Simulations The recent surge in the interest in hypersonic technology has highlighted the need to accurately and efficiently simulate these complex flowfields using CFD tools. Computer simulations for the design and analysis of hypersonic vehicles is critical since it is often impossible to reproduce the high-Mach number, high-enthalpy conditions in a wind tunnel. Simulating the hypersonic flow regime with CFD tools presents several challenges, ranging from the accurate modeling of the complex physical phenomena, such as compressibility effects, shock-boundary layer interaction, high temperatures, dissociation and ionization of air, ablation of solid surfaces and, ultimately, magnetohydrodynamics effects, to the stabilization of the numerical algorithms used to solve the governing equations. In this seminar we will show how ANSYS CFD tools are used to simulate high speed flows and to design hypersonic vehicles, by touching on the capabilities of the CFD tools and describing case studies. Presented by: Valerio Viti Valerio Viti is a A&D industry leader at ANSYS. Valerio has been with ANSYS for 12 years working in the application of CFD tools to the Aerospace and Defense, Power generation and HVAC industries. Valerio holds a PhD in Aerospace Engineering from Virginia Tech and a Masters in Aeronautics from The City University of London View on demand Multiphysics Simulation For The Aerospace Industry Modern trends in the development of aircraft and defense vehicles, such as increased power density, miniaturization, lightweighting, advanced materials and environmental sustainability are driving the need for Pervasive Engineering Simulation. Upfront digital exploration and building of digital twins require a comprehensive simulation platform that enables the modeling of complex physical and physics-based interaction of systems. Robust, fast, scalable and versatile workflows for multiphysics simulations offer tremendous value to companies in their product development and operation cycles. This webinar presents the ANSYS multiphysics solution specifically for the A&D engineer. We will highlight how the ANSYS solution works and showcase fluid-structure interaction (FSI) case studies and examples from the A&D industry. Presented by: Sreedevi Krishnan Sreedevi Krishnan is a computational fluid dynamics (CFD) application engineer at ANSYS. She has been with ANSYS for 10 years, working mostly with advanced automotive applications. Her main areas of expertise are volume of fluid (VOF) methods and FSI. Sree holds a Ph.D. in mechanical engineering from the University of Iowa. View on demand Addressing Challenges of High-Speed Vehicle Design Using Physics-Based Simulation Technology In this webinar, we focus on the numerical study of the external aerodynamics of two cruise missile geometries. The first is a generic high-supersonic/low-hypersonic geometry. The study analyzes the main flow features to better understand the physical phenomena that govern the behavior of canard geometries at different angles of attack. The second geometry is an aerospike. It uses an aerodynamic spike on the nose of the missile to offset the shockwave in front of the main body and effectively reduce pressure and temperature loads on the radome. The study explores the complex flow field around the missile and includes a sensitivity analysis. Presenters: Vinod Rao is a computational fluid dynamics (CFD) specialist at ANSYS, where he has been working for over six years on advanced aerospace, turbomachinery and automotive applications. His main areas of expertise include aeromechanics/fluid-structure interaction (FSI), compressible flows, aircraft icing and aeroacoustics. Valerio Viti is an A&D industry lead at ANSYS. Valerio has been with ANSYS for 12 years working in the application of CFD tools in the aerospace and defense, power generation and HVAC industries. Valerio holds a Ph.D. in aerospace engineering from Virginia Tech and a master’s in aeronautics from City, University of London. View on demand Designing Safer Ships Using Simulation: Ship-Hull Stability Prediction by ANSYS CFD As part of the certification process, marine surface vessels and industrial floating structures undergo rigorous stability tests to insure the maximum safety and operability under extreme weather conditions. In this webinar, we will demonstrate how CFD analysis can be used to gain insight into the stability performance of a representative Navy vessel using ANSYS Fluent. The free surface effects on the vessel were simulated using the Volume of Fluid Method, while the vessel motion was resolved using the 6-DOF solver. Presented by: Zoran Dragojlovic Zoran Dragojlovic is a senior application engineer supporting ANSYS computational fluid dynamics (CFD) tools and related workflows as a part of ANSYS Customer Excellence (ACE) team. Zoran has over 20 years of engineering experience including nuclear energy research, semiconductor manufacturing process design and consulting. Since joining ANSYS in 2012, Zoran has been contributing to application support, training and mentoring. View on demand Improving the Design of Fuel Cells for the Aerospace and Defense Industry Fuel cells can produce electricity from an external source of fuel and oxidizer. They are clean, quiet and highly efficient. Polymer electrolyte membrane (PEM) fuel cells (FCs) operate at lower temperatures than other types of fuel cells and are frequently employed in vehicles and personal mobility applications in the aerospace and defense industry. This webinar will focus on the application of the PEMFC module in ANSYS Fluent to both simple and complex fuel cell geometries to help understand the effects of geometric and operating parameters on device performance and thermal management. Presented by: Kurt Svihla Kurt Svihla is a senior application engineer at ANSYS with a Ph.D. in chemical engineering from Florida State University. He has worked with ANSYS computational fluid dynamics tools for more than 18 years and has supported clients in the nuclear, biotechnology and chemical process industries. View on demand Accurate Prediction of Panel Flutter Applicable to Supersonic or High Lift Flight: Results and Comparison to NASA Wind Tunnel Data Avoiding flutter of an aircraft's skin is important for safe and robust operation. Traditional panel flutter prediction tools fall short for conditions where the boundary layer thickness varies. ANSYS’ fluid–structure interaction (FSI) capability accurately predicts panel flutter under the most challenging conditions. ANSYS simulation results will be compared to NASA supersonic wind tunnel data. The simple simulation process and surprisingly small computational requirements for accurate results will also be summarized. Prime applications for the ANSYS FSI capability include next generation supersonic transports heralded by NASA's (X-59) low boom demonstrator or high lift flight conditions of subsonic aircraft. Presented by: Luke Munholand, Ph.D. Luke Munholand, Ph.D. is a lead application engineer at ANSYS. For more than 14 years he has provided technical guidance to customers who seek maximum value for their simulation effort. Luke specializes in computational fluid dynamics for the defense and biotechnology areas. Coauthor: Vinod Rao Vinod Rao is a computational fluid dynamics (CFD) specialist at ANSYS, where he has been working for over six years on advanced aerospace, turbomachinery and automotive applications. His main areas of expertise include aeromechanics/fluid–structure interaction (FSI), compressible flows, aircraft icing and aeroacoustics. View on demand Reduced Order Modeling (ROMs) for Aerospace Industry Assessing the performance of aircraft components with systems-level models has always been a part of the aircraft design process. A systems simulation is a collection of models, simulations and algorithms that predict how all the parts in a system will work together. The fidelity of the model improves if the detailed physics governing the performance of the components can be closely represented in the system model. However, the very nature of 3D modeling is time-intensive and not practical to incorporate in a full systems-level model you need to simulate a system in real time. Reduced Order Models (ROMs) are mathematical simplifications of 3D models that preserve the essential information needed for system simulations. Solving a ROM for a given input can be orders of magnitude faster than solving a 3D model. This makes ROMs ideal for many applications, like design of experiments (DOE), systems simulations, digital twins and runtime generations of real-time applications.. This webinar will present an overview of ROM technology available with the ANSYS platform, along with some examples and a demo of the ROM workflow for CFD.. Presented by: Sreedevi Krishnan Sreedevi Krishnan is a computational fluid dynamics (CFD) application engineer at ANSYS. She has been with ANSYS for 10 years, working mostly with advanced automotive applications. Her main areas of expertise are volume of fluid (VOF) methods and FSI. Sree holds a Ph.D. in mechanical engineering from the University of Iowa. View on demand Prediction and Remediation to Aircraft Icing via Simulations Icing on aircraft surfaces, appendages, sensors and engines are safety-critical aspects of aircraft design that impact the whole supply chain. Achieving regulatory certification is a complex and time-consuming process involving simulation models, icing tunnels and flight testing. Recent regulatory changes and industry focus around high-altitude ice crystals and supercooled large droplets (SLD) have further challenged the design process and the time to market for new aircraft and technology. ANSYS provides a unique combination of advanced computational fluid dynamics and icing simulation expertise in a common working environment. The solution captures real-world behavior in 3D, using the most efficient simulation workflow available and an extensive database of industry validation. In addition, the simulation outputs are designed to comply with the FAA’s Appendices C, D and O. ANSYS icing simulation enables companies and engineers to develop products faster, test designs earlier in the development cycle, reduce the number of physical prototypes and produce a better solution than would be possible using traditional design methods. Please join us for this webinar to learn about the capabilities and applications of ANSYS software for in-flight icing. Presented by: Miraj Desai Miraj Desai graduated with a bachelor’s and master’s in aerospace/Mechanical Engineering from Embry-Riddle Aeronautical University. After working in industry, he joined ANSYS in 2015 and has experience in external flow modeling with extensive experience with in-flight icing. Miraj is a regular attendee and participant of SAE AC-9C icing meetings and participates within AIAA committees to use simulation for aircraft certification. View on demand

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Simulation in the News | Ansys

Ansys 2020 R1 Digitally Threads Simulation Across Lifecycle Processes January 2020 Companies are accelerating digital transformation by integrating cutting-edge Ansys technology across product lifecycle processes through new functionalities released in Ansys 2020 R1. From improving product development with Ansys Minerva to running complex simulations with substantially streamlined workflows with Ansys Fluent to optimizing electromagnetic design processes with Ansys HFSS, Ansys 2020 R1 enables companies to pioneer trailblazing innovations and create cost-effective designs. As simulation impacts virtually every product development decision, users must address considerable scale and complexity challenges of interoperability, data and process management, high-performance computing (HPC) integration, and traceability. Additionally, sophisticated multiphysics simulation and optimization assets must be widely available throughout engineering teams and across product lifecycles. Ansys 2020 R1 addresses this with portfolio-wide upgrades and improvements to Ansys Minerva — enabling customers to connect simulation and optimization to their larger product lifecycle processes. Minerva now incorporates technologies for significantly improving workflows and enhancing simulation process and data management (SPDM). This includes dashboards that drive improved decision support, dynamic 3D visualization tools for exploring model data, and a system for managing change and ensuring reliability of information. For example, OptiSlang — a technology now owned by Ansys as a result of the recent acquisition of Dynardo — teams with Minerva’s SPDM solutions to help users reduce development time and expedite the evaluation of affordable optimal design alternatives. Ansys 2020 R1 also delivers upgrades across the portfolio, including structures, fluids, 3D design, electromagnetics, additive manufacturing, materials, optics, cloud computing, semiconductors, systems and embedded software. Learn more: ansys.com/products/release-highlights Rockwell Automation and Ansys Announce Partnership Modern Materials Handling, November 2019 Industrial companies now have access to a streamlined, holistic, end-to-end solution for design, automation, production and lifecycle management, thanks to a new strategic partnership between Rockwell Automation and Ansys. The partnership between Rockwell Automation, the world’s largest company dedicated exclusively to industrial automation and information, and Ansys, the industry leader in simulation software, was announced at Rockwell Automation’s 28th annual Automation Fair in Chicago. Ansys and Rockwell Automation will help customers design simulation-based digital twins of products, processes or manufacturing. Historically, manufacturers would dedicate a significant amount of time and money to develop and test physical product prototypes to arrive at the optimal design. Now customers can design and test through simulation to accelerate development and analysis, improving product quality and reducing testing time (and costs) across their organizations. Future Mobility Solutions Showcased at CES January 2020 Ansys showcased simulation solutions that are accelerating the coming mobility revolution during CES 2020. The Ansys booth featured offerings that are shaping the transformation of connected, autonomous, shared and electric transportation. Attendees visiting the Ansys booth could see the record-shattering Volkswagen Motorsport I.D. R electric race car along with autonomous, electrified and connected robots; an interactive kinetic display; interactive touchscreen demo stations; and more. Beyond the booth, Ansys’ Mobility Tour provided attendees with interactive glimpses into the ongoing collaborations that are shaping emerging innovations in autonomy, 5G and electrification. Check out some of the highlights from the Ansys booth and Mobility Tour below. BMW: Insight into Ansys’ and BMW’s collaboration involving Ansys Autonomy FLIR Systems: Demonstration of Ansys Autonomy with a physics-based thermal camera model for validation of automotive systems Edge Case Research: Demonstration of Ansys SCADE Vision powered by Hologram for edge case detection in AV perception systems NXP Semiconductors: Live demonstration of Ansys Autonomy running on the NXP BlueBox for simulating virtual miles driven, and high-fidelity physics closed-loop, open-loop, and SiL and HiL simulations BlackBerry Limited (QNX): Demonstration of a lane departure warning system that featured the digital safety workflow provided to validate the advanced driver assistance systems features in closed-loop simulation AEye: Demonstration of AEye iDAR technology using the VRXPERIENCE and SPEOS elements of Ansys Autonomy that showcased hazard detection in a virtual world Embotech: Motion planning demonstration combined GPS information with sensor information for predictive path planning Porsche Fully Electric Race Car Targets Formula E Championship Using Ansys Technology November 2019 The TAG Heuer Porsche Formula E Team is racing to the finish line of the 2019/2020 ABB FIA Formula E Championship through a new collaboration with Ansys. Porsche Motorsport engineers are using Ansys’ industry-leading system-level simulation solutions to create an advanced electric powertrain that will substantially increase energy efficiency for Porsche’s first-ever fully electric race car — the Porsche 99X Electric. Accelerating at extreme speeds through demanding urban courses within metropolitan city centers exerts massive stresses on the powertrain of the Porsche 99X Electric. While regulations stipulate a standardized chassis and battery, engineers can customize the powertrain and its subsystems and components to deliver maximum energy efficiency and vehicle performance from the starting line to the finish line. Ansys system-level solutions deliver a critical competitive edge for the Porsche 99X Electric, enabling Porsche engineers to create the next-generation Porsche E-Performance Powertrain. This helps provide the highest level of energy efficiency for its vital subsystems and components — maximizing the efficiency of the motor and the power electronics to significantly reduce losses. Carnegie Mellon University and Ansys Transform Engineering Education Carnegie Mellon University, October 2019 With the opening of Ansys Hall, Carnegie Mellon University (CMU) and Ansys are expanding their partnership to transform the future of engineering and research by enabling budding engineers to usher in the next industrial revolution. The shared goal is to build groundbreaking approaches and tools that will result in shorter product development cycles and better-quality final products. The rapid transformation of manufacturing and product innovation is underway, and engineers are using simulation to increase innovation, lower cycle times and increase quality with unprecedented speed. Ansys Hall is a collaborative and hands-on maker facility and education space where students have access to Ansys’ leading physics-based simulation tools and cutting-edge technologies for making, assembling and testing their designs. Ansys Joins the NASDAQ-100 Index NASDAQ.com, December 2019 Ansys has become a component of the NASDAQ-100 Index. The NASDAQ-100 index is composed of the 100 largest non-financial company stocks listed on the Nasdaq Stock Market based on market capitalization. “We are honored to join this elite group of the world’s most successful and dynamic companies on the NASDAQ-100 Index,” said Ajei Gopal, Ansys president and CEO. “The simulation market has incredible growth opportunities, and Ansys’ world-class ecosystem and innovative solutions ensure that we are in the best possible position to take advantage of them. This important milestone is a testament to the strength of our Pervasive Simulation strategy.” Aras Licenses Platform to Ansys in Strategic OEM Deal Digital Engineering, January 2020 Aras has announced a strategic partnership with Ansys that includes the licensing of the Aras platform technology to enable the next generation of digital engineering practices, the companies report. Ansys will leverage underlying Aras platform technologies such as configuration management, product data management/product lifecycle management interoperability, and application program interface integration. Ansys will add simulation-specific capabilities to deliver scalable and configurable products that connect simulation and optimization to the business of engineering. Ansys, Azure Pair Up for Digital Twin Cloud Offering HPC Wire, December 2019 Ansys, with its Twin Builder software, has teamed with Microsoft and its Azure public cloud Digital Twins Platform on a joint product strategy to take on the rapidly emerging digital twins market, which Gartner last year called a top 10 technology trend for 2019. The Ansys–Azure offering lets users compile simulations into runtime modules that can execute in a Docker container and be integrated automatically into IoT processing systems. Dollars and Sense: Your Next Simulation Should Be on the Cloud Engineering.com, December 2019 Your CAD/CAE software is not doing you any favors by providing a million-element model that your workstation cannot handle. Engineers have to spend time “defeaturing” the finite element model so that this doesn’t happen. Or do they? HPC (high-performance computing) may provide an alternative to defeaturing. Ansys offers two ways to use HPC on the cloud if you don’t want to buy your own hardware. From within several core Ansys applications, you pick Ansys’ own HPC service, the Ansys Cloud, on which to run the solution. The Ansys user can select small, medium, large and extra-large cloud-based server configurations that correspond to 8, 16, 32 and 128 cores, respectively. Or, users can pick one of more than 10 Ansys cloud hosting partners. Ansys has qualified the partners, who have developed their own simulation environment that is compliant with the Ansys platform. Using Cloud Computing for Engineering Simulation Automotive Testing Technology International, December 2019 Peerless Research Group conducted a cloud-enabled simulation study for Ansys and discovered that 37% of respondents are either using the cloud for engineering simulation or are planning to use it in 2020. The benefits cited included the ability to scale quickly and reduce costs. However, according to the survey, the top three engineering benefits are increasing the speed of product development, improving engineering productivity and accelerating innovation. Cloud-Based Engineering Is Poised for Takeoff The Next Platform, December 2019 The benefits of the cloud’s pay-as-you-go model is drawing in more high-performance computing users with each passing year. One segment that has been somewhat underrepresented is engineering, which increasingly relies on HPC-powered digital simulations for product design and development. A recent survey of engineers conducted by Peerless Research Group, on behalf of Digital Engineering magazine and Ansys, suggests that cloud computing is poised for more rapid adoption. For those already using the cloud on these workloads, 63% were using an on-premise private cloud, which, depending on how respondents interpreted that category, may be nothing more than a shared in-house cluster. The remainder were split almost evenly between those using the public cloud (35%) and those using an ISV-managed SaaS solution, like the Ansys Cloud (32%). Telma Shortens Path to Market for Frictionless Braking Systems with Ansys Telma used Ansys for three new series of retarders — braking systems that use electromagnetic induction — to decrease the number of prototypes required for validation from 10 to one over the course of a decade and reduced fine-particle emissions associated with braking systems by up to 90% while significantly reducing maintenance costs. Articles In This Issue Winning the Race to Mobility Engineer Perception, Prediction and Planning into ADAS When Will Self-Driving Cars Outperform Humans? Autonomous Cars to Race at Indianapolis Motor Speedway Autonomous Safety in Sight Take Simulation Underground A New Kind of Eyes on the Road Out of Thin Air Elastic Compute & Big Data Analytics Tackle Physical Verification Complexity Rapidly Meet Heat Exchanger Regulations Savings Boil Over Simulating a Salt-Cooled Reactor for Safety Fast Fluid Simulation on the Cloud Ansys Hall of Fame Winners

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Upcoming Ansys Webinars

Harness the full potential of ANSYS simulation to achieve your product goals by registering for an upcoming webinar. Choose from the many topics below or find additional webinars on the ANSYS calendar. Webinars for the academic community are listed below.--> --> Reliability 102: Design Rules vs. Design Tools October 22, 2020, at 11 a.m. EDT / 4 p.m. BST / 8:30 p.m. IST This webinar showcases how Ansys Sherlock — a powerful automated design analysis tool — applies validated reliability physics modeling, so engineers can achieve faster and more accurate reliability predictions. Learn More --> Making Smarter Material Choices October 22, 2020, at 11 a.m. EDT / 4 p.m. BST / 8:30 p.m. IST This webinar explores how Ansys Granta Selector helps you select the best materials for your project by better managing the trade-offs of competing performance factors. Learn More --> Optimizing the Lyophilization Process Using CFD October 22, 2020, at 11 a.m. EDT / 4 p.m. BST / 8:30 p.m. IST This webinar showcases Ansys’ computational fluid dynamics (CFD) solution for lyophilization modeling, discussing two levels of analyses in detail. Additionally, lyophilization-specific simulation training workshops will be highlighted. Learn More --> Recent Advances in Ansys Maxwell October 22, 2020, at 11 a.m. EDT / 4 p.m. BST / 8:30 p.m. IST Learn about the the many new capabilities in Maxwell with a focus on the most important features now available, including high-performance computing, advanced materials handling, new solver formulations and meshing. Learn More --> Evaluating Weather Impact on Sensor Performance by Combining Ansys Solutions October 22, 2020, at 12 p.m. EDT / 5 p.m. BST / 9:30 p.m. IST Learn how coupled CFD-optical simulations can address weather challenges by developing weather-aware solutions including designing and optimizing sensors, strategically placing sensors on a vehicle, designing a sensor cleaning system and developing perception algorithms. Learn More --> New, Powerful Ansys Electromagnetic Capabilities for EMI/EMC Simulations October 22, 2020, at 1 p.m. EDT / 6 p.m. BST / 10:30 p.m. IST Learn how to reduce EMI/EMC test cycles using Ansys Electromagnetic simulation technologies. Find out about EMI wizard, a rules-based design checker built in to Ansys SIwave; a new cable modeling tool for cable emissions; and a template for CISPR25, RadHaz and BCI tests. Learn More --> New, Powerful Ansys Electromagnetic Capabilities for EMI/EMC Simulations October 26, 2020, at 10 a.m. EDT / 2 p.m. GMT / 7:30 p.m. IST Learn how to reduce EMI/EMC test cycles using Ansys Electromagnetic simulation technologies. Find out about EMI wizard, a rules-based design checker built in to Ansys SIwave; a new cable modeling tool for cable emissions; and a template for CISPR25, RadHaz and BCI tests. Learn More --> Novel, Efficient Antenna System Design Using HPC Capabilities in Ansys HFSS October 27, 2020, at 12:30 a.m. EDT / 4 a.m. GMT / 10 a.m. IST This 45-minute webinar charts the evolution of HFSS to become the established industry leader in antenna design. Learn about new high-performance computing (HPC) capabilities in HFSS and explore how it supports antenna modeling. Learn More --> Exploring Ansys HFSS 3D Layout-Driven Assembly October 27, 2020, at 5 a.m. EDT / 9 a.m. BST / 2:30 p.m. IST Learn how to combine ECAD layout designs and add mechanical CAD connectors or 3D component models in Ansys HFSS 3D Layout to accurately extract complex interconnect systems with 3D electromagnetic field simulation. Learn More --> Connecting Composite-Forming Simulations in AniForm with Ansys Structural Simulation October 27, 2020, at 11 a.m. EDT / 3 p.m. BST / 8:30 p.m. IST This webinar highlights how AniForm conducts forming analysis of a part. Additionally, we’ll spotlight how to transfer layup data through the HDF5 interface. Lastly, we’ll discuss how to perform a structural analysis with Ansys Composite PrepPost with process-dependent variable layup and material properties. Learn More --> Relying on What You See: Luminance Matching and Human Vision October 27, 2020, at 11 a.m. EDT / 3 p.m. BST / 8:30 p.m. IST This webinar spotlights Ansys SPEOS, which offers a refined human eye sensor model and provides access to the human vision algorithm for luminance and immersive 360-degree observer results. Learn More --> System-Aware Electrothermal Analysis for Next-Generation IC Packages October 28, 2020, at 2 a.m. EDT / 6 a.m. BST / 11:30 a.m. IST This webinar showcases Ansys’ CPS methodology. A dynamic case study will highlight how the methodology can help deliver insights into electrical, thermal and structural issues early in a product’s design stage. Learn More --> New Ansys Electronics Desktop Capabilities for Electronics Design, Validation and Signoff October 28, 2020, at 10 a.m. EDT / 2 p.m. GMT / 7:30 p.m. IST Learn how the Ansys Electronics Desktop can be used to create designs, virtually verify their performance and run large-scale, system-level simulations. Discover the power of hybridizing electromagnetic and circuit simulations to create virtual electronic product simulations. Learn More --> Enhancing Safety and Security for A&D Systems October 28, 2020, at 11 a.m. EDT / 3 p.m. BST / 8:30 p.m. IST This webinar showcases how Ansys medini analyze helps engineers streamline the application of safety, reliability and cybersecurity engineering methods at system, item and PCB levels in a model-based environment. Learn More --> Analyzing Quadcopter Drone Propeller Noise Using Ansys CFD October 28, 2020, at 11 a.m. EDT / 3 p.m. BST / 8:30 p.m. IST Learn how to use Ansys Fluent to simulate the noise produced by a generic four-bladed quadcopter drone. Discover how sound analysis tools from Ansys VRXPERIENCE SOUND can be applied to the acoustic results to help assess psychoacoustic parameters associated with the perceived sounds. Learn More --> Materials Selection for Mechanical Design October 28, 2020, at 12 p.m. EDT / 4 p.m. BST / 9:30 p.m. IST Learn how Ansys Granta EduPack helps academics engage students, deepens their understanding of materials selection with real-world projects and prepares them for careers in industry. Learn More --> Simulation-Driven Design of Modern Biosensors October 29, 2020, at 7:30 a.m. EDT / 11:30 p.m. GMT / 5 p.m. IST This webinar spotlights the sensors BSBI has developed and their related outcomes. Additionally, the webinar will highlight detailed biosensor simulation studies. We will also discuss the modeling of optical biosensors using Ansys SPEOS and the electrochemical biosensor using Ansys Fluent. Learn More --> Simulation of Magnetic Sensors with Ansys Maxwell October 29, 2020, at 11 a.m. EDT / 3 p.m. BST / 8:30 p.m. IST Electromagnetic sensors are used in many applications, including position and current sensing. This webinar showcases Ansys Maxwell’s capabilities for sensing applications and demonstrates the Ansys advantage for simulating sensor performance. Learn More --> New Ansys Electronics Desktop Capabilities for Electronics Design, Validation and Signoff October 29, 2020, at 1 p.m. EDT / 5 p.m. BST / 10:30 p.m. IST Learn how the Ansys Electronics Desktop can be used to create designs, virtually verify their performance and run large-scale, system-level simulations. Discover the power of hybridizing electromagnetic and circuit simulations to create virtual electronic product simulations. Learn More --> Optimizing 10 Gbps+ Serial Channel Performance Using New Ansys SIwave Features October 30, 2020, at 12:30 a.m. EDT / 4:30 a.m. GMT / 10 a.m. IST Learn about the latest additions to our signal and power integrity solutions, such as the EMI scanner, the EMI Xplorer, the Crosstalk Scanner and the PI advisor. Discover how HFSS Regions in SIwave provides for rapid verification and signoff on your SI or PI designs. Learn More --> New, Powerful Ansys Electromagnetic Capabilities for EMI/EMC Simulations November 3, 2020, at 11:30 p.m. EDT (11/2) / 4:30 a.m. GMT / 10 a.m. IST Learn how to reduce EMI/EMC test cycles using Ansys Electromagnetic simulation technologies. Find out about EMI wizard, a rules-based design checker built in to Ansys SIwave; a new cable modeling tool for cable emissions; and a template for CISPR25, RadHaz and BCI tests. Learn More --> Using Ansys SpaceClaim as a Parametric CAD Tool November 3, 2020, at 11 a.m. EST / 4 p.m. GMT / 9:30 p.m. IST This webinar spotlights Ansys SpaceClaim’s direct editing and CAD-neutral architecture, which enables parametric changes to any file type, regardless of a model’s history. Learn More --> Latest Advances in Ansys Mechanical November 4, 2020, at 11:30 p.m. EST (11/3) / 4:30 a.m. GMT / 10 a.m. IST This webinar highlights the latest features in recent releases of Ansys Mechanical that enable users to solve their engineering challenges faster and easier. Learn More --> Simulating RFID Systems With Ansys HFSS November 4, 2020, at 4 a.m. EST / 9 a.m. GMT / 2:30 p.m. IST This dynamic webinar showcases how Ansys electromagnetic tools are used to decrease design time and increase the performance of an RFID system’s various components and subsystems. Learn More --> Ansys Innovation Courses: Reinventing the Way Physics Concepts Are Taught November 4, 2020, at 10 a.m. EST / 3 p.m. GMT / 8:30 p.m. IST This webinar spotlights Ansys Innovation Courses — free, self-paced, online courses that are reinventing the way physics and engineering concepts are taught. Learn More --> Multiphase CFD in Minerals & Metal Processing November 5, 2020, at 11:30 p.m. EST (11/4) / 4:30 a.m. GMT / 10 a.m. IST This webinar spotlights multiphase CFD model development and how CFD models support industrial plants. Learn More --> Developing Damage Models to Predict Solder Fatigue November 5, 2020, at 11 a.m. EST / 4 p.m. GMT / 9:30 p.m. IST Learn how to perform material characterization of various solder alloys, create predictive solder fatigue damage models using a physics-of-failure approach (PoF) and develop damage models using simulation and testing. Learn More --> New Ansys Electronics Desktop Capabilities for Electronics Design, Validation and Signoff November 6, 2020, at 11:30 p.m. EDT (11/5) / 4:30 a.m. GMT / 10 a.m. IST Learn how the Ansys Electronics Desktop can be used to create designs, virtually verify their performance and run large-scale, system-level simulations. Discover the power of hybridizing electromagnetic and circuit simulations to create virtual electronic product simulations. Learn More --> 3D Component Arrays Demonstration November 9, 2020, at 5 a.m. EST / 10 a.m. GMT / 3:30 p.m. IST In this webinar, the numerical technique of domain decomposition based on 3D components within HFSS will be showcased with key examples. A live demo will spotlight the setup procedure and post-processing capabilities. Learn More --> Boosting Your HPC Experience With Ansys Cloud November 10, 2020, at 8 a.m. EST / 1 p.m. GMT / 6:30 p.m. IST This webinar spotlights Ansys Cloud, which delivers massive compute power whenever and wherever you need it, from your laptop at your office to your smartphone or tablet at home. Learn More --> Ansys & Hexagon: Digitalizing Fiber Orientations & Simulating Composite Parts November 10, 2020, at 11 a.m. EST / 4 p.m. GMT / 9:30 p.m. IST This webinar spotlights a workflow that involves scanning and digitizing fiber orientations in APODIUS and receiving Ansys simulation results that detail the sensitivity of differing material orientations from their as-designed states. Learn More --> A Guided, Fluent Meshing Workflow for the A&D Industry November 11, 2020, at 11 a.m. EST / 4 p.m. GMT / 9:30 p.m. IST Explore the exciting new enhancements to Ansys Fluent meshing workflows. Learn how engineers from the aerospace and defense industries can raise their efficiency with task-based workflows, Mosaic-enabled meshing technology and a streamlined user interface. Learn More --> Boosting Your HPC Experience With Ansys Cloud November 11, 2020, at 11 a.m. EST / 4 p.m. GMT / 9:30 p.m. IST This webinar spotlights Ansys Cloud, which delivers massive compute power whenever and wherever you need it, from your laptop at your office to your smartphone or tablet at home. Learn More -->

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Best Practice, Best Product

For almost half a century, engineering simulation has been helping the world's leading businesses launch their innovative product designs faster, and at a lower cost, by verifying them in a risk-free virtual world. For over 40 years, ANSYS has supplied best-in-class engineering software worldwide and currently supports the success of product development teams at more than 45,000 customer organizations. Across all these customer engagements, one fact has emerged: the earlier that product teams can apply simulation, the better. While simulation has often been viewed as a complement to physical testing once design concepts are ready for validation, simulation can add even greater value upstream, during product ideation. By empowering the product development team to quickly explore thousands of design options via simulation at the earliest stages, companies can reduce final product cost, unleash game-changing innovation, and cut weeks or even months from their launch schedules. Nearly 20 years ago, ANSYS pioneered upfront simulation with a product that set the bar for ease of use, automation and productivity: ANSYS DesignSpace. Building on this success, the company has worked with engineering teams across every industry to design and develop the capabilities that allow them to make better engineering decisions earlier using simulation. Today, ANSYS offers the industry's broadest and most robust range of capabilities for digital exploration — from proven flagship solutions to leading-edge new products and capabilities designed specifically to support digital exploration. "Companies cannot realize the full value of digital exploration without giving every member of the design team access to simulation." THE ANSYS SIMULATION PLATFORM: A FOUNDATION FOR EARLY DECISION-MAKING By understanding how product development teams work, ANSYS has identified simulation solutions that specifically support the concept of digital exploration and has incorporated them into the ANSYS platform. Before designs begin to harden and before simulation is used to verify product performance, engineers ask many questions about the design, make changes and iterate until they either arrive at an optimum design or run out of time (typically it is the latter). To start, system architects will use 0-D models and system simulation to explore different product architectures and determine high-level requirements for various subsystems. They determine how much torque is required, how much heat needs to be dissipated or what loads need to be supported. To answer these questions up front requires system simulation, and integrating a heterogeneous mix of models and physics domains to simulate overall product performance. A versatile system simulation tool like ANSYS Simplorer, which supports various modeling languages and can co-simulate mechanical, electrical and embedded software systems, is paramount. Once requirements for the various subsystems have been established, designers typically use 3-D modeling to experiment with the design. They determine the look and feel of the product and subsystems, ascertain the size and design a form that conveys what these subsystems actually do. Designing these early ideas requires a 3-D modeling tool that is easy for engineers to use to mock up their ideas at the speed of thought. ANSYS SpaceClaim, a multipurpose 3-D modeling application built on direct modeling technology and an array of intuitive tools, enables CAD experts and non-CAD experts alike to quickly create and morph designs during product ideation. ANSYS SpaceClaim also provides robust and easy-to-use tools to de-feature and simplify geometry for simulation. With the product architecture and basic form of the product established, designers and engineers can explore design performance using simulation, and perform what-if analysis to improve the design for functional requirements across a range of engineering disciplines, including mechanical, thermal and electrical. The parametric and persistent architecture of the ANSYS platform is very powerful at this point in the design process. Once a simulation is set up, an engineer can easily change the geometry, material, loads or a host of other design parameters, and then regenerate simulation results with a single mouse click. ANSYS SpaceClaim enables designers to easily make changes to their design concepts and to digitally explore options long before a design is solidified. ANSYS RMxprt aids designers in the early-stage development of electric machines. In addition to manual what-if studies, designers can benefit from automated parametric optimization. A number of specialized capabilities within the ANSYS platform make it possible to systematically explore the entire design space using design of experiments (DOE) and find the best design faster. ANSYS DesignXplorer provides persistent, automated parametric optimization. ANSYS optiSLang enables product developers to not only find the best design, but the most robust design given variations in manufacturing, material or usage. Most companies standardize on CAD and perhaps a PLM system to document their design decisions. CAD systems are often too complex and heavy for digital exploration, but, to document the design, an engineer's platform for digital exploration must be interoperable with these enterprise systems. To this end, the ANSYS platform provides bidirectional associativity with all the major CAD systems so that a parametric change to a model can automatically revise the geometry in its native CAD format. Design specialists can quickly explore changes and easily update their design of record in the CAD system. "Businesses of all types, in every industry, can realize dramatic cost and time savings while also supporting groundbreaking product innovation — by taking advantage of upfront simulation." Engineering teams typically have many years of experience designing the same family of products and have developed unique simulation workflows and result calculations. The ability to customize a simulation suite and create specialized applications to automate steps and integrate third-party tools or data unique to their product is vital to repeatable success in digital exploration. ANSYS ACT is an easy-to-learn yet powerful customization interface to the platform based on standard Python and XML. Engineers can create custom applications from scratch or use the ACT App Builder to interactively create apps. The ecosystem of ANSYS partners has also developed a rich set of simulation apps and made them available on the App Store. Customers can choose from a variety of free or cost-effective applications based on ANSYS ACT. To bring together all these capabilities that are commonly required for digital exploration and to make it easy for non-analysts to effectively employ upfront simulation, ANSYS has developed ANSYS AIM. Learn more later in this article and throughout this issue of ANSYS Advantage. "The earlier that product teams can apply simulation, the better." TRUSTED RESULTS FOR EARLY DESIGN DECISIONS IN EVERY DOMAIN The benefits of digital exploration are not confined to a particular industry or engineering application. Whether designing large fabricated structures for mining or next-generation semiconductor technology, early use of simulation results in better engineering decisions, less redesign and higher-quality products. ANSYS provides industry-proven solutions for advanced structural, fluid, electromagnetic and semiconductor simulation, but these products also deliver unique capabilities and applications to designers to use at the beginning of the workflow. Built on the same underlying technology used by high-end analysis products, these solutions help engineers across different engineering disciplines make better decisions earlier in the design process. For example, ANSYS Mechanical now includes a topology optimization capability that automatically determines where material should be added or removed to meet performance, cost or weight requirements. Using topology optimization, a designer has significantly greater freedom to create a part or assembly that is closer to the optimal design than is possible with traditional parametric optimization. The resulting design is typically more innovative but complex, making it ideally suited for additive manufacturing. By combining topology optimization with additive manufacturing strategies, companies can dramatically reduce material costs while delivering innovative, higher-quality products. For semiconductor design, the ANSYS suite now includes ANSYS RedHawk-SC, which is based on the new SeaScape elastic computing architecture for electronic design automation. Designed to handle extremely large data sets and computations on commodity compute hardware, ANSYS RedHawk-SC enables semiconductor designers to rapidly assess many electromigration and voltage drop scenarios prior to final verification stages and sign-off. Revving Up Product Development "ANSYS offers the industry's broadest and most robust range of capabilities for digital exploration." In the area of electromagnetic simulation and motor design, ANSYS RMxprt isa template-based design tool included with ANSYS Maxwell. At the conceptualization stage for electric machines, RMxprt quickly calculates overall machine performance, supports initial sizing decisions and analyzes hundreds of what-if scenarios in a matter of seconds. In the embedded software space, software engineers can leverage the power of design exploration by relying on SCADE Test Rapid Prototyper, which works in conjunction with SCADE Display — the industry standard for human–machine interface development. Product developers can use SCADE Test Rapid Prototyper upfront in the design process to create a large number of test cases. By leveraging the power of automated image comparison and regression testing, display developers can save significant time and money by accurately predicting real-world results upfront during design. ANSYS AIM: REALIZING THE POWER OF DIGITAL EXPLORATION One of the most exciting developments at ANSYS has been the introduction of ANSYS AIM, a new, easy-to-use simulation solution that can be mastered by every member of the design team. As the value of digital exploration is discovered, more and more companies are asking nonexperts to apply simulation at the early stages of product conceptualization. While some CAD vendors offer add-on simulation modules based on different technologies than those commonly used by the analyst community, ANSYS AIM delivers pervasive engineering simulation using the same proven core solver technology as that applied by analysts, but with features that make it easy to learn for designers. Companies cannot realize the full value of digital exploration without giving every member of the design team access to simulation. Butterfly valve simulated in ANSYS AIM, an easy-to-use simulation solution for every member of the design team EXPLORE THE BENEFITS NOW Cornaglia group has increased innovation and earned a 10-times return on investment by using simulation upfront in the product design process.   With a wide range of solutions and capabilities designed specifically to support digital exploration, ANSYS has eliminated almost every barrier that companies face in leveraging this best practice for product development. Businesses of all types, in every industry, can realize dramatic cost and time savings — while also supporting groundbreaking product innovation — by taking advantage of upfront simulation. Cornaglia Group, an Italian manufacturer that develops leading-edge automotive components, including exhaust systems and fuel tanks, began implementing the concept of digital exploration in 2012. Says Massimo Marcarini, director of R&D, "Cornaglia was patenting only three innovations annually before 2012. [After implementing simulation-driven design], in 2014 alone we filed 10 patent applications. The financial benefits have been tremendous; in fact, I estimate that Cornaglia has earned a 10-times return on its investments in simulation technology." With the potential for these kinds of returns, it simply makes good business sense for companies of all sizes and types to implement the concept of digital exploration. ANSYS will invest in new solutions and innovative capabilities that support digital exploration so our customers can continue to experience the advantages. Our goal is to help you achieve the dramatic results, in terms of both product innovation and financial returns, that position your company for leadership today and tomorrow. ANSYS App Store

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