## Cleanup (v0.5.0) - Delete 102+ orphaned MCP session temp files - Remove build artifacts (htmlcov, dist, __pycache__) - Archive superseded plan docs (RALPH_LOOP V2/V3, CANVAS V3, etc.) - Move debug/analysis scripts from tests/ to tools/analysis/ - Archive redundant NX journals to archive/nx_journals/ - Archive monolithic PROTOCOL.md to docs/archive/ - Update .gitignore with missing patterns - Clean old study files (optimization_log_old.txt, run_optimization_old.py) ## Canvas UX (Phases 7-9) - Phase 7: Resizable panels with localStorage persistence - Left sidebar: 200-400px, Right panel: 280-600px - New useResizablePanel hook and ResizeHandle component - Phase 8: Enable all palette items - All 8 node types now draggable - Singleton logic for model/solver/algorithm/surrogate - Phase 9: Solver configuration - Add SolverEngine type (nxnastran, mscnastran, python, etc.) - Add NastranSolutionType (SOL101-SOL200) - Engine/solution dropdowns in config panel - Python script path support ## Documentation - Update CHANGELOG.md with recent versions - Update docs/00_INDEX.md - Create examples/README.md - Add docs/plans/CANVAS_UX_IMPROVEMENTS.md
Bracket Displacement Maximization Study
Study Name: bracket_displacement_maximizing Created: 2025-11-16 Phase: 3.3 - Optimization Setup Wizard
Overview
This study demonstrates the complete Phase 3.3 workflow for optimizing a bracket design to maximize displacement while maintaining structural safety.
Problem Statement
Objective: Maximize the displacement of a bracket under load
Constraints:
- Safety factor ≥ 4.0
- Material: Aluminum 6061-T6 (Yield strength = 276 MPa)
- Allowable stress: 69 MPa (276/4)
Design Variables:
tip_thickness: 15-25 mm (baseline: 17 mm)support_angle: 20-40° (baseline: 38°)
Model Information
- Geometry: Bracket part with tip and support features
- Mesh: 585 nodes, 316 elements (CHEXA, CPENTA)
- Load: Applied force at tip
- Boundary Conditions: Fixed support at base
Optimization Setup
Phase 3.3 Wizard Workflow
- Model Introspection - Read NX expressions from .prt file
- Baseline Simulation - Run initial simulation to validate setup
- OP2 Introspection - Auto-detect element types (CHEXA, CPENTA)
- Workflow Configuration - Build LLM workflow with detected element types
- Pipeline Validation - Dry-run test of all components
- Optimization - Run 20-trial TPE optimization
Extractors
- Displacement: Extract max displacement from OP2 file
- Stress: Extract von Mises stress from solid elements (auto-detected: CHEXA)
Calculations
- Safety Factor:
SF = 276.0 / max_von_mises - Objective:
neg_displacement = -max_displacement(minimize for maximization)
Constraints
- Safety Factor Hook: Enforces SF ≥ 4.0 with penalty
Directory Structure
bracket_displacement_maximizing/
├── model/ # NX model files (isolated from tests/)
│ ├── Bracket.prt # Part geometry
│ ├── Bracket_fem1.fem # FE model
│ └── Bracket_sim1.sim # Simulation setup
├── results/ # Optimization results
│ ├── optimization_history.json
│ ├── best_design.json
│ └── trial_*.op2 # OP2 files for each trial
├── config/ # Study configuration
│ └── study_config.json # Complete study setup
├── run_optimization.py # Main optimization script
├── optimization_log.txt # Execution log
└── README.md # This file
Running the Study
cd studies/bracket_displacement_maximizing
python run_optimization.py
The script will:
- Initialize the Phase 3.3 wizard
- Validate the complete pipeline
- Run 20 optimization trials
- Save results to
results/directory - Generate comprehensive report
Results
Results are saved in the results/ directory:
- optimization_history.json: Complete trial history
- best_design.json: Best design parameters and performance
- optimization_report.md: Human-readable summary
Key Features Demonstrated
✅ Phase 3.3 Wizard - Automated validation before optimization ✅ Dynamic Element Detection - Auto-detects all element types from OP2 ✅ Self-Contained Study - Isolated model files prevent conflicts ✅ Complete Logging - Full execution trace for debugging ✅ Reproducible - Configuration files enable exact reproduction
Notes
- All simulations run in the
model/directory to isolate from test files - OP2 files are regenerated for each trial (no caching issues)
- Study can be re-run without affecting other tests or studies
- Configuration is fully documented in
config/study_config.json