Fluid · Consumer Products
GPU-Accelerated Turbulence Modeling (RANS/LES) for Consumer Products
Apply the gpu-accelerated turbulence modeling (rans/les) to real consumer products 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 consumer products, teams face challenges like cost vs. durability, thermal comfort, packaging. The gpu-accelerated turbulence modeling (rans/les) directly supports use cases such as drop-test fea, airflow in appliances, packaging optimization, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Consumer Products use cases
- Drop-test FEA
- Airflow in appliances
- Packaging optimization
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