DE · Topics · Webcasts · Webcasts · Sponsored Content

FREE WEBINAR September 21: Alternatives to Standard RANS Models in Automotive Aerodynamics

In this webinar, learn the difference between standard RANS models, Stress-Omega RSM implementation, and unsteady scale resolving approaches on several representative test cases.

In this webinar, learn the difference between standard RANS models, Stress-Omega RSM implementation, and unsteady scale resolving approaches on several representative test cases.

DATE: September 21, 2022
TIME: 12:00 PM EDT/ 9:00 AM PDT

Predicting aerodynamic flow physics around automotive vehicles is a complex endeavor, often leaving the engineer with the need to balance cost and accuracy. While steady-state approaches (such as RANS) are attractive for their low computational cost, they usually fail to predict all flow phenomena correctly, especially so in the presence of strong wakes like the ones found in automotive aerodynamics.

More fidelity can be achieved by using unsteady scale-resolving models such as DES or wall-modeled LES, of course at a significantly higher cost. The need for accuracy during the design cycle (from style to certification) varies, as well as the desired turnaround time and number of simulations, leading to different choices being made at various stages of design.

An ideal model would offer an accurate solution within a small turnaround time, therefore being applicable across the board and allowing for a faster, more consistent, decision making.

In this webinar, we present a comparison between standard RANS models, Stress-Omega RSM implementation, and unsteady scale resolving approaches on several representative test cases including Windsor body and DrivAer.

Our findings show that using a robust RSM approach can provide an attractive compromise, as it combines the inexpensive nature of a robust steady solver with the accuracy of an advanced turbulence model.

Learning benefits:

  • Demonstration of the full CFD simulation workflow for car external aerodynamics
  • Comparison of speed and accuracy for different turbulence modeling approaches
  • Application to multiple reference car models

Register for the webinar here.

Sponsored by:

Speakers:

Vincent Doutrelant
CFD Product Engineer - Automotive and Aerospace applications
Cadence

Moderator: Kenneth Wong
Senior Editor
Digital Engineering

More Cadence Coverage

The Race is On
Designing for The America’s Cup Race
Cadence Finalizes Acquisition of BETA CAE Systems
Cadence continues to expect BETA CAE to contribute about $40 million to its 2024 revenue.
Cadence Digital Twin Platform to Enhance Data Center Design
Product intended to Improve energy efficiency with accurate and fast AI-driven digital twins.
Cadence to Buy BETA CAE
Purchase to allow for expansion into structural analysis.
Intel Foundry Collaborates with Cadence and Siemens
Partnerships aim at enabling heterogeneous integration with EMIB packaging technology.
Cadence Company Profile

Share This Article

Subscribe to our FREE magazine, FREE email newsletters or both!

Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.


#26820