Commit Graph

4 Commits

Author SHA1 Message Date
Antoine
1bb201e0b7 feat: Add post-optimization tools and mandatory best design archiving
New Tools (tools/):
- analyze_study.py: Generate comprehensive optimization reports
- find_best_iteration.py: Find best iteration folder, optionally copy it
- archive_best_design.py: Archive best design to 3_results/best_design_archive/<timestamp>/

Protocol Updates:
- OP_02_RUN_OPTIMIZATION.md v1.1: Add mandatory archive_best_design step
  in Post-Run Actions. This MUST be done after every optimization run.

V14 Updates:
- run_optimization.py: Auto-archive best design at end of optimization
- optimization_config.json: Expand bounds for V14 continuation
  - lateral_outer_angle: min 13->11 deg (was at 4.7%)
  - lateral_inner_pivot: min 7->5 mm (was at 8.1%)
  - lateral_middle_pivot: max 23->27 mm (was at 99.4%)
  - whiffle_min: max 60->72 mm (was at 96.3%)

Usage:
  python tools/analyze_study.py m1_mirror_adaptive_V14
  python tools/find_best_iteration.py m1_mirror_adaptive_V14
  python tools/archive_best_design.py m1_mirror_adaptive_V14

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-12 10:28:35 -05:00
Antoine
70ac34e3d3 feat: Add E11 Part Mass extractor, document pyNastran mass accuracy issue
New E11 Part Mass Extractor:
- Add nx_journals/extract_part_mass_material.py - NX journal using
  NXOpen.MeasureManager.NewMassProperties() for accurate geometry-based mass
- Add optimization_engine/extractors/extract_part_mass_material.py - Python
  wrapper that reads JSON output from journal
- Add E11 entry to extractors/catalog.json

Documentation Updates:
- SYS_12_EXTRACTOR_LIBRARY.md: Add mass accuracy warning noting pyNastran
  get_mass_breakdown() under-reports ~7% on hex-dominant meshes with
  tet/pyramid fill elements. E11 (geometry .prt) should be preferred over
  E4 (BDF) unless material is overridden at FEM level.
- 01_CHEATSHEET.md: Add mass extraction tip

V14 Config:
- Expand design variable bounds (blank_backface_angle max 4.5°,
  whiffle_triangle_closeness max 80mm, whiffle_min max 60mm)

Testing showed:
- E11 from .prt: 97.66 kg (accurate - matches NX GUI)
- E4 pyNastran get_mass_breakdown(): 90.73 kg (~7% under-reported)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-11 22:15:36 -05:00
Antoine
3d90097b2b feat: Expand V14 design space bounds based on V13 analysis
Analysis of 258 FEA trials showed best trial (#45) hitting bounds on
5 parameters. Expanded bounds to allow exploration of promising regions:

- lateral_inner_angle: max 28.5 → 30.0° (was at 99.2% of range)
- lateral_inner_pivot: min 9.0 → 7.0 mm (was at 4.6% of range)
- lateral_middle_pivot: min 18.0 → 15.0 mm (was at 7.7% of range)
- whiffle_min: min 35.0 → 30.0 mm (was at 4.0% of range)
- whiffle_outer_to_vertical: min 68.0 → 60.0° (was at 5.3% of range)
- blank_backface_angle: narrowed to 4.1-4.2° (focus on optimal region)

V14 seeds from 496 prior FEA trials (V11+V12+V13) using TPE sampler.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-11 16:42:34 -05:00
Antoine
48404fd743 feat: Add Zernike wavefront viewer and V14 TPE optimization study
Dashboard Zernike Analysis:
- Add ZernikeViewer component with tabbed UI (40°, 60°, 90° vs 20°)
- Generate 3D surface mesh plots with Mesh3d triangulation
- Full 50-mode Zernike coefficient tables with mode names
- Manufacturing metrics for 90_vs_20 (optician workload analysis)
- OP2 availability filter for FEA trials only
- Fix duplicate trial display with unique React keys
- Tab switching with proper event propagation

Backend API Enhancements:
- GET /studies/{id}/trials/{num}/zernike - Generate Zernike HTML on-demand
- GET /studies/{id}/zernike-available - List trials with OP2 files
- compute_manufacturing_metrics() for aberration analysis
- compute_rms_filter_j1to3() for optician workload metric

M1 Mirror V14 Study:
- TPE (Tree-structured Parzen Estimator) optimization
- Seeds from 496 prior FEA trials (V11+V12+V13)
- Weighted-sum objective: 5*obj_40 + 5*obj_60 + 1*obj_mfg
- Multivariate TPE with constant_liar for efficient exploration
- Ready for 8-hour overnight runs

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-10 21:34:07 -05:00