Agent ran cold spray simulations and chose next runs

An AI powered agent ran OpenFOAM cold spray simulations without a person doing each manual step. It read deposit results, spotted failed runs from solver logs, and decided the next simulation, with an animation made for each run.

How it works

Planned the study and chose simulation parameters
Built the case with Python tools
Launched OpenFOAM solver runs
Read deposit measures and solver logs
Judged each run and chose the next simulation

Why it’s worth knowing

The agent did not just start a simulation, it judged the results and diagnosed failures before choosing what to run next.

Where it’s from

Summarized from a public post on youtube.com. See the original ↗

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