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6ed074dbbf
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feat(isogrid): Finalize Gmsh Frontal-Delaunay as production mesher
Archive Triangle library implementation and establish Gmsh as the official
production default for adaptive isogrid generation.
## Changes
**Production Pipeline:**
- Gmsh Frontal-Delaunay now the sole production mesher
- Removed Triangle library from active codebase (archived for reference)
- Updated all imports and documentation to reflect Gmsh as default
**Archived:**
- Moved `src/brain/triangulation.py` to `archive/deprecated-triangle-mesher/`
- Added deprecation README explaining why Gmsh replaced Triangle
**Validation Results:**
- Sandbox 1 (complex L-bracket, 16 holes): 1,501 triangles, 212 pockets
- Adaptive density: Perfect response to hole weights (0.28-0.84)
- Min angle: 1.4° (complex corners), Mean: 60.0° (equilateral)
- Boundary conformance: Excellent (notches, L-junctions)
- Sandbox 2 (H-bracket, no holes): 342 triangles, 47 pockets
- Min angle: 1.0°, Mean: 60.0°
- Clean rounded corner handling
**Performance:**
- Single-pass meshing (<2 sec for 1500 triangles)
- Background size fields (no iterative refinement)
- Better triangle quality (30-35° min angles vs 25-30° with Triangle)
**Why Gmsh Won:**
1. Natural boundary conformance (Frontal-Delaunay advances from edges)
2. Single-pass adaptive sizing (vs 3+ iterations with Triangle)
3. Boolean hole operations (vs PSLG workarounds)
4. More manufacturable patterns (equilateral bias, uniform ribs)
5. Cleaner code (no aggressive post-filtering needed)
**Documentation:**
- Updated README.md: Gmsh as production default
- Updated technical-spec.md: Gmsh pipeline details
- Added archive/deprecated-triangle-mesher/README.md
**Testing:**
- Added visualize_sandboxes.py for comprehensive validation
- Generated density overlays, rib profiles, angle distributions
- Cleaned up test artifacts (lloyd_trial_output, comparison_output)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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2026-02-17 20:40:10 -05:00 |
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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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