Unity · Collaborative project

20 m-class ring-rolling visualization.

FE data and domain knowledge support a shared visualization environment for comparing two independent rolling conditions.

01Initial condition

Complete first rolling sequence

02ML-assisted prediction and optimization

Parameter-adjustment recommendation

03Corrected condition

Complete second Unity replay

Equipment and ring in the initial-condition Unity visualization

This demonstration is based on 100 thermo-mechanical FE datasets for 20 m-class ring rolling. The two videos show independent, complete processes under different conditions. The transition presents parameter-adjustment recommendations from ML-assisted prediction and optimization; it does not represent reverse deformation of the same ring.

Collaborative visualization evidence; not a substitute for independent FE rerun verification.

Unity collaboration · two independent conditions

My contribution

Provided and organized the FE data foundation; contributed domain input on ring-rolling motion rules, process constraints, and result interpretation; and supported data mapping, basic Unity operations, and selected C# tasks.

Collaborative development

The Unity visualization architecture and the machine-learning prediction and optimization modules were led by the collaborating developer.

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