Anto01
2b3573ec42
Major additions: - Training data export system for AtomizerField neural network training - Bracket stiffness optimization study with 50+ training samples - Intelligent NX model discovery (auto-detect solutions, expressions, mesh) - Result extractors module for displacement, stress, frequency, mass - User-generated NX journals for advanced workflows - Archive structure for legacy scripts and test outputs - Protocol documentation and dashboard launcher 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
"""
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Create circular plate frequency tuning study with COMPLETE automation.
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This demonstrates the proper Hybrid Mode workflow:
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1. Study structure creation
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2. Benchmarking
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3. Validation
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4. Auto-generated runner
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"""
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from pathlib import Path
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import sys
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sys.path.insert(0, str(Path(__file__).parent))
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from optimization_engine.hybrid_study_creator import HybridStudyCreator
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def main():
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creator = HybridStudyCreator()
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# Create workflow JSON first (in temp location)
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import json
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import tempfile
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workflow = {
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"study_name": "circular_plate_frequency_tuning",
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"optimization_request": "Tune the first natural frequency mode to exactly 115 Hz (within 0.1 Hz tolerance)",
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"design_variables": [
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{"parameter": "inner_diameter", "bounds": [50, 150]},
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{"parameter": "plate_thickness", "bounds": [2, 10]}
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],
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"objectives": [{
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"name": "frequency_error",
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"goal": "minimize",
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"extraction": {
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"action": "extract_first_natural_frequency",
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"params": {"mode_number": 1, "target_frequency": 115.0}
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}
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}],
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"constraints": [{
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"name": "frequency_tolerance",
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"type": "less_than",
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"threshold": 0.1
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}]
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}
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# Write to temp file
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temp_workflow = Path(tempfile.gettempdir()) / "circular_plate_workflow.json"
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with open(temp_workflow, 'w') as f:
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json.dump(workflow, f, indent=2)
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# Create study with complete automation
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study_dir = creator.create_from_workflow(
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workflow_json_path=temp_workflow,
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model_files={
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'prt': Path("examples/Models/Circular Plate/Circular_Plate.prt"),
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'sim': Path("examples/Models/Circular Plate/Circular_Plate_sim1.sim"),
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'fem': Path("examples/Models/Circular Plate/Circular_Plate_fem1.fem"),
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'fem_i': Path("examples/Models/Circular Plate/Circular_Plate_fem1_i.prt")
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},
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study_name="circular_plate_frequency_tuning"
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)
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print(f"Study ready at: {study_dir}")
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print()
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print("Next step:")
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print(f" python {study_dir}/run_optimization.py")
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if __name__ == "__main__":
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main()
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