tools/adaptive-isogrid/requirements.txt

numpy>=1.24
scipy>=1.10
shapely>=2.0
gmsh>=4.11  # Frontal-Delaunay meshing (production)
triangle>=20230923  # Fallback option
matplotlib>=3.7
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 2026-02-16 00:01:35 +00:00			`numpy>=1.24`
			`scipy>=1.10`
			`shapely>=2.0`
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> 2026-02-17 17:05:19 -05:00			`gmsh>=4.11 # Frontal-Delaunay meshing (production)`
			`triangle>=20230923 # Fallback option`
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 2026-02-16 00:01:35 +00:00			`matplotlib>=3.7`