602560c46a
Neural Acceleration (MLP Surrogate): - Add run_nn_optimization.py with hybrid FEA/NN workflow - MLP architecture: 4-layer (64->128->128->64) with BatchNorm/Dropout - Three workflow modes: - --all: Sequential export->train->optimize->validate - --hybrid-loop: Iterative Train->NN->Validate->Retrain cycle - --turbo: Aggressive single-best validation (RECOMMENDED) - Turbo mode: 5000 NN trials + 50 FEA validations in ~12 minutes - Separate nn_study.db to avoid overloading dashboard Performance Results (bracket_pareto_3obj study): - NN prediction errors: mass 1-5%, stress 1-4%, stiffness 5-15% - Found minimum mass designs at boundary (angle~30deg, thick~30mm) - 100x speedup vs pure FEA exploration Protocol Operating System: - Add .claude/skills/ with Bootstrap, Cheatsheet, Context Loader - Add docs/protocols/ with operations (OP_01-06) and system (SYS_10-14) - Update SYS_14_NEURAL_ACCELERATION.md with MLP Turbo Mode docs NX Automation: - Add optimization_engine/hooks/ for NX CAD/CAE automation - Add study_wizard.py for guided study creation - Fix FEM mesh update: load idealized part before UpdateFemodel() New Study: - bracket_pareto_3obj: 3-objective Pareto (mass, stress, stiffness) - 167 FEA trials + 5000 NN trials completed - Demonstrates full hybrid workflow 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
61 lines
1.1 KiB
Markdown
61 lines
1.1 KiB
Markdown
# Model Introspection Report
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**Study**: bracket_pareto_3obj
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**Generated**: 2025-12-06 14:43
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**Introspection Version**: 1.0
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---
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## 1. Files Discovered
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| Type | File | Status |
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|------|------|--------|
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| Part (.prt) | Bracket.prt | ✓ Found |
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| Simulation (.sim) | Bracket_sim1.sim | ✓ Found |
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| FEM (.fem) | Bracket_fem1.fem | ✓ Found |
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---
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## 2. Expressions (Potential Design Variables)
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*Run introspection to discover expressions.*
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---
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## 3. Solutions
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*Run introspection to discover solutions.*
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---
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## 4. Available Results
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| Result Type | Available | Subcases |
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|-------------|-----------|----------|
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| Displacement | ? | - |
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| Stress | ? | - |
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| SPC Forces | ? | - |
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---
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## 5. Optimization Configuration
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### Selected Design Variables
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- `support_angle`: [20, 70] degrees
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- `tip_thickness`: [30, 60] mm
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### Selected Objectives
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- Minimize `mass` using `extract_mass_from_bdf`
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- Minimize `stress` using `extract_solid_stress`
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- Maximize `stiffness` using `extract_displacement`
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### Selected Constraints
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- `stress_limit` less_than 300 MPa
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---
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*Ready to create optimization study? Run `python run_optimization.py --discover` to proceed.*
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