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5c63d877f0
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feat: Switch isogrid to Gmsh Frontal-Delaunay meshing (production default)
Replaces Triangle library with Gmsh as the default triangulation engine for
adaptive isogrid generation. Gmsh's Frontal-Delaunay algorithm provides:
- Better adaptive density response (concentric rings around holes)
- Superior triangle quality (min angles 30-35° vs 25-30°)
- Single-pass meshing with background size fields (vs iterative refinement)
- More equilateral triangles → uniform rib widths, better manufacturability
- Natural boundary conformance → cleaner frame edges
Comparison results (mixed hole weights plate):
- Min angle improvement: +5.1° (25.7° → 30.8°)
- Density field accuracy: Excellent vs Poor
- Visual quality: Concentric hole refinement vs random patterns
Changes:
- Updated src/brain/__main__.py to import triangulation_gmsh
- Added gmsh>=4.11 to requirements.txt (Triangle kept as fallback)
- Updated README and technical-spec.md
- Added comparison script and test results
Triangle library remains available as fallback option.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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2026-02-17 17:05:19 -05:00 |
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4bec4063a5
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feat: add adaptive isogrid tool — project foundations
- Python Brain: density field, constrained Delaunay triangulation,
pocket profiles, profile assembly, validation modules
- NX Hands: skeleton scripts for geometry extraction, AFEM setup,
per-iteration solve (require NX environment to develop)
- Atomizer integration: 15-param space definition, objective function
- Technical spec, README, sample test geometry, requirements.txt
- Architecture: Python Brain + NX Hands + Atomizer Manager
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2026-02-16 00:01:35 +00:00 |
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