As industries like automotive continue to build increasingly complex products, this leaves much room for efficiency and process improvements. Simulation tools like ANSYS Discovery Live harness the modern compute power of NVIDIA GPUs so design teams can explore more design options earlier in product development. The business benefits are substantial: faster product development time, lower costs and improved product performance.

Join ANSYS and PNY, a global technology leader and supplier of NVIDIA GPUs, as we explore the different ways that this groundbreaking software is being used to improve product performance in automotive applications. In this on-demand webinar you will see demonstrations of ANSYS Discovery Live used in examples such as:

• Optimizing rear axle strength
• Observing deflection in a clutch housing
• Analyzing fluid behavior around vehicles
• Simulating cooling of an EGR system

You will also learn about NVIDIA GPUs, which provide the computing power enabling this groundbreaking technology to work. You will walk away with a better understanding of how Discovery Live is disruptive to the automotive industry, how it promotes better communication between design and analyst teams, and how it can be used in your own applications.

Read this case study to learn how VOLABO used multiphysics simulation software obtained through the ANSYS Startup Program to develop the first 48 V high power traction drive, which is 25 percent more efficient than conventional electrical drives and does not need rare earth magnets for production. What makes the ISCAD drive unique is the virtual gearbox that enables the motor to continuously adapt to the load profile and thus make better use of the battery capacity.

Learn how to account for temperature and bias capacitance dependencies. This on-demand webinar will focus on using Murata's capacitor library — which represents capacitance as a function of voltage and temperature — within ANSYS Icepak and ANSYS SIwave. With this functionality, you can automatically determine capacitance on printed circuit boards (PCB) using DC simulations to find bias conditions and thermal simulations to determine temperature gradients.

The availability of ubiquitous data and compute power to solve seemingly unsolvable problems is driving the artificial intelligence (AI) revolution in high tech today. Semiconductor chips for next-generation automotive, mobile and high-performance computing applications — powered by AI and machine learning algorithms — require the use of advanced 16/7nm systems-on-chips (SoCs), which are bigger, faster and more complex. For these SoCs, the margins are smaller, schedules are tighter and costs are higher. Faster convergence with exhaustive coverage is therefore imperative for first-time silicon success. A big data-enabled simulation platform that offers elastic scalability is required for enabling rapid design iterations to create a robust power grid design. Multivariable analytics and machine learning technologies are key for gaining valuable insights from the vast amount of simulation data to accelerate design closure.

In this on-demand webinar, leading semiconductor company Nvidia will discuss the limitations of traditional voltage drop analysis methodologies and share how ANSYS RedHawk-SC’s elastic compute scalability and powerful data analytics can be leveraged to accelerate next-generation SoC power integrity and reliability signoff. A new workflow using multivariable analytics, which considers grid criticality, timing criticality and simultaneous switching noise, is used for predicting the worst, local dynamic voltage drop (DvD) hotspots without running any transient simulation. This enables early detection of hotspots and offers feedback to the physical design team, making it possible to address design issues without impacting the tapeout schedule. The issues identified by this new flow were found to correlate well with vector-based dynamic voltage drop analysis with much faster turnaround time.

In this on-demand webinar, we will demonstrate a model-based development flow that targets parallel execution on various multicore chips for safety-critical software applications (including Kalray MPPA and Infineon's latest generation AURIX™).

The flow is based on an extension of ANSYS SCADE Suite, which generates parallel code from any legacy SCADE application. The generated parallel code is target independent; an integration step is performed to instantiate OS-specific services like communication, synchronization or memory protection. An automated integration process has been developed for several operating systems (including PXROS-HR, developed by HighTec EDV-Systeme, a multicore real-time operating system designed for embedded safety-critical applications, able to take full advantage of Infineon AURIX performance and safety functionalities).

SCADE Suite certified generated code embedded in PXROS-HR certified RTOS provides the streamlined answer to challenging development of critical multicore embedded applications by enabling seamless automated flow from the application model down to executable binary running on a target embedded processor.

Rotor blades are causing big problems for wind power industry. They are expensive, heavy and made in one piece. Read this case study to learn how Winfoor used ANSYS simulation solutions to analyze a precise, optimized design to drive the wind industry and make it more competitive as an energy source.

Entrepreneurs, hospitals, clinicians, and medical device and pharmaceutical companies are incorporating simulation into product development plans to save time, money and — most importantly — lives.

By personalizing a specific treatment to each patient, efficiencies will make healthcare more affordable for patients and more profitable for providers. However, this requires a significant paradigm shift for those in the healthcare business, as well as a new technology toolkit to collect data via devices and wearables so that treatments can be customized. This special issue of ANSYS Advantage focuses on how the healthcare industry leverages simulation to advance treatment, reduce costs and improve the well-being of people worldwide.

Combining fully autonomous (AV) technology with 5G-delivered, high-speed and low-latency wireless data promises a safer, more user-friendly driving experience. This impending merger is a result of the developing 5G infrastructure that will provide reliable vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) and vehicle-to-everything (V2X) connectivity for a variety of new, real-time communication services.

The simulation of these connected systems is key to assessing their performance and limits before deployment to ensure maximum performance and reliability. In this on-deman webinar, we will show you how design engineers use ANSYS simulation tools to create reliable 5G systems for automotive applications.

Cray and ANSYS tackled the high-lift simulation challenge, working together on two high-lift prediction test cases developed by the AIAA CFD High Lift Prediction Workshop (HiLiftPW). The computational results — made possible by Cray XC supercomputing power and obtained with ANSYS Fluent — showed excellent performance: a 189-million-cell simulation completed in under two hours.