ANSYS® Fluent® Helps Reduce Vehicle Wind Noise
The DDES turbulence model was used to simulate side-window wall-pressure fluctuation noise for the Alfa Romeo Giulietta, and a very accurate transient simulation was performed using ANSYS Fluent CFD software running on a Cray XC40 supercomputer.
How to Use Trace Reinforcements to Optimize PCB Models
The increasing complexity of 21st century electronics continues to drive demand for comprehensive multiphysics simulations. Simulation helps engineers determine potential failure risks before physical prototyping, making it one of the most beneficial and cost-effective solutions for electronics manufacturers. However, there are often significant modeling challenges associated with the increased layout complexity of printed circuit boards (PCBs), including finer density traces and intricate routing structures. Fortunately, there are a number of modeling techniques that exist that allow for more complex and accurate PCB models. These techniques range from homogeneous effective material properties to trace mapping to detailed trace modeling. In this webinar we will focus on a trace modeling technique called trace reinforcements. In the trace reinforcement method, copper traces are modeled with 1D or 2D elements that are embedded within 3D structural elements. This strategy allows for the inclusion of detailed trace geometry features in a highly complex PCB model without the unreasonable body/element counts that come with a standard 3D body trace modeling approach. This webinar will discuss when to use trace reinforcement modeling, the accuracy and efficiency the methodology offers, and how to use Ansys Sherlock to automate the creation of a trace reinforcement model.
High-Fidelity Radar Driving Scenario Simulations
Application Field: ADAS and Autonomous Driving Advanced driver assistance systems (ADAS) are at the core of automotive safety and will serve as the enabling technologies for autonomous vehicles. In this webinar we explore a high-resolution MIMO radar system simulation in realistic driving scenarios. A full physics-based radar scene corner case is modeled to obtain high-fidelity range-Doppler maps. We investigate the effects of inclined roads on late pedestrian detection as well as the effects of construction metal plate radar-returns on false target identification. 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. Speaker: Amazir Moknache, Senior Application Engineer, Ansys
Micro-Doppler Simulation for Auto Radar Applications
Application Field: ADAS and Autonomous Driving Multiple input, multiple output (MIMO) radar enables “4D imaging” for driver-assistance and automated driving systems. Angular position and range can be determined using triangulation and propagation delay from the sensor to the target. The fourth dimension is the target trajectory (i.e., velocity) which can be extracted from the Doppler frequency shift. Additional information resulting from relative motion within the moving target coordinate system can also be determined. For example, the vibrating mudflaps on a truck, the periodic leg motion of a person riding a bicycle and the rotation of wheels on a vehicle all exhibit characteristic “micro-Doppler” signatures. This webinar will describe the application of HFSS SBR+ to accurately model the physical interaction of radar with dynamic objects to predict radar performance and capture the micro-Doppler effect. We will describe how to create and modify dynamic objects exhibiting motion within the local frame of reference and provide an outlook on the application of machine learning for target classification. Speaker: Hen Leibovich, Application Engineer II, Ansys
A Simple, Easy Trick to Model a Battery Module/Pack Using Ansys Fluent
With the growth of the electric vehicle market, the demand for smaller and lighter batteries with greater capacity has never been higher. A simple, comprehensive option for a lithium-ion (Li-ion) cell, based on a multiscale, multidimensional (MSMD) battery modeling methodology, has been developed in Ansys Fluent to study the cell-to-cell temperature variation or maximum temperature in the module. This option helps you to investigate the cell-to-cell temperature variation and maximum temperature in an Li-ion battery module/pack much more easily. This webinar reveals the details of this option and demonstrates an example of testing MSMD models with and without this option. What you will learn Get a tour of the Fluent battery modeling options. Learn how to model the battery module or pack in a much simpler way. Learn how to validate the model. Speaker Seeta Gunti , Senior Technical Support Engineer
Ensure 5G Systems Integrity by Using Multiphysics Analysis of Chips, Packages and Systems
The evolution of 5G systems is rooted in the consistently increasing need for more data. Whether the application is future medical systems, autonomous vehicles, smart cities, AR/VR, IoT, or standard mobile communications systems, all require an ever-increasing amount of data. For 5G systems to reliably work, the physical data pathways must be well understood and reliably designed. Whether the pathway is in the chip or the wireless channel, large amounts of data must seamlessly flow unimpeded. This presentation will discuss the various data paths in 5G systems and how Multiphysics analysis can help design these paths to allow for maximum data integrity.
Ansys medini analyze Solutions for Functional Safety in Aerospace
The safety analysis of electronics systems is a precondition for obtaining necessary certifications, but may consume more than half of the overall development effort. Ansys medini analyze provides aerospace manufacturers of these systems (and their components) with dedicated support for functional safety analysis. Medini analyze customers report up to 55% decreases in both functional safety analysis efforts and time to market. The model-based tool also eliminates inconsistencies in functional safety analysis work products and accelerates the certification process, especially with respect to design changes.
SCADE Suite Technical Datasheet
SCADE Suite sets the standard for developing safety-critical embedded software in the aerospace and defense, rail transportation, energy, and heavy equipment industries. It is is a model-based development environment that can dramatically reduce your critical embedded software project costs. Capabilities span requirements management, model-based design, simulation, verification, qualifiable/certified code generation, and interoperability with other development tools and platforms. This datasheet for Ansys SCADE Suite details product information for the Ansys 2021 R1 release.
Ansys GRANTA MI Enterprise - Product Overview
With Ansys GRANTA MI Enterprise, users manage the full materials data lifecycle, from test data to design and beyond. Workflow tools ensure smooth capture, processing and approval of data, information and expertise, enabling users to fully integrate the flow of materials information into their business practices.
Using Ansys Granta MI for Best Practice Additive Manufacturing Data Management at EWI
EWI’s implementation of Ansys Granta MI for additive manufacturing (AM) was done to enable innovation and collaboration through more effective project data management. Collaboration cannot proceed unless project members can reliably share data and know that they have a complete and accurate picture of project results and analyses. This is made possible with the Granta MI solution.
Ansys Sherlock Helps Modify Testing Parameters
An electronic engineering (E/E) module supplier had to meet an automotive OEM’s reliability metric of 97% (less than 3% risk of failure) over a 10-year durability period for a new E/E module. To determine whether the supplier’s product meets the reliability goal, the automotive OEM requested that the modules be subjected to thermal cycling tests with OEM-defined parameters.The E/E module supplier suspected that the automotive OEM’s thermal cycling parameters were unnecessarily severe. The supplier commissioned the use of Ansys Sherlock to test the module’s field durability against the thermal cycling tests using simulation-aided testing. A 3D FEA model was built of the supplier’s E/E module in a CAE environment, using the OEM’s definition of annual thermal cycling to model the 10-year field profile.
BGA Failure Analysis
The client designs and manufactures industrial electric heaters, sensors and controllers. In an assembly process, they have experienced field failures on several boards and have tracked the failure to a specific ball grid array (BGA). They believed the failure was due to separation between some of the outer BGA balls (typically corner balls) and the board. However, what was not clear was whether the separation was related to soldering, contamination, cracking or some other issue. To get to the bottom of the issue, the client asked DfR Solutions to perform a destructive failure analysis to identify the root cause.