Files

Antoine 602560c46a feat: Add MLP surrogate with Turbo Mode for 100x faster optimization

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>

2025-12-06 20:01:59 -05:00

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Model Introspection Report

Study: bracket_pareto_3obj Generated: 2025-12-06 14:43 Introspection Version: 1.0

1. Files Discovered

Type	File	Status
Part (.prt)	Bracket.prt	✓ Found
Simulation (.sim)	Bracket_sim1.sim	✓ Found
FEM (.fem)	Bracket_fem1.fem	✓ Found

2. Expressions (Potential Design Variables)

Run introspection to discover expressions.

3. Solutions

Run introspection to discover solutions.

4. Available Results

Result Type	Available	Subcases
Displacement	?	-
Stress	?	-
SPC Forces	?	-

5. Optimization Configuration

Selected Design Variables

support_angle: [20, 70] degrees
tip_thickness: [30, 60] mm

Selected Objectives

Minimize mass using extract_mass_from_bdf
Minimize stress using extract_solid_stress
Maximize stiffness using extract_displacement

Selected Constraints

stress_limit less_than 300 MPa

Ready to create optimization study? Run python run_optimization.py --discover to proceed.

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