README.md

metadata

title: Mesh Refinement Agent
emoji: 🏢
colorFrom: indigo
colorTo: gray
sdk: docker
pinned: false
short_description: This is an AI agent which uses optimizes mesh generation

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Mesh Refinement Agent (HF Space)

This Hugging Face Space runs a full machine-learning–guided mesh refinement workflow for STEP CAD geometry.

The system performs:

• STEP loading and feature extraction
• Detection of planes, fillets, circular holes, non-circular pockets
• Part-level feature aggregation
• Four ML model predictions:
  • Convergence classifier
  • Global mesh size regressor
  • Local refinement flag classifier
  • Local mesh size regressor
• Gmsh meshing with background field refinement
• PNG + interactive Plotly visualization
• .msh mesh export

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How to Use

1. Upload a .step / .stp file
2. Select the load type (bend or tension)
3. Pick visualization mode:
   • Wireframe
   • Highlight (local refinement)
   • Heatmap (element size inverse)
4. Press Run

You will receive:

• A natural-language summary of predicted convergence & refinement
• Global mesh PNG
• Refined mesh PNG
• Interactive 3D mesh viewer
• Downloadable mesh_refined.msh

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Project Files

Key files included in this Space:

Models are pre-trained and do not require Ansys or dataset files.

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Notes

• Computation is CPU-only (HF Spaces restriction)
• Very large STEP files may take 10–40 seconds
• All geometry processing uses cadquery-ocp OpenCascade backend
• Gmsh 4.11.1 CLI is used for meshing

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License

MIT License