Fluid · Automotive
GPU-Accelerated Turbulence Modeling (RANS/LES) for Automotive
Apply the gpu-accelerated turbulence modeling (rans/les) to real automotive problems — in the browser, with AI assistance.
This is the gpu-accelerated variant of the Turbulence Modeling (RANS/LES). RANS averages the flow and models turbulence, while LES resolves large eddies and models the small ones — trading cost for fidelity.
In automotive, teams face challenges like drag and fuel economy, crash safety, battery thermal management. The gpu-accelerated turbulence modeling (rans/les) directly supports use cases such as external aerodynamics, crashworthiness fea, ev battery cooling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Automotive use cases
- External aerodynamics
- Crashworthiness FEA
- EV battery cooling
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