fatigue-life-predictor

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Fatigue life prediction skill for implants and load-bearing devices using validated approaches

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Fatigue Life Predictor Skill ## Purpose The Fatigue Life Predictor Skill estimates fatigue life of medical implants and load-bearing devices using established methodologies per ASTM and ISO standards, supporting design verification and regulatory submissions. ## Capabilities - S-N curve generation and analysis - Strain-life fatigue modeling - Multiaxial fatigue assessment - Fretting fatigue evaluation - Corrosion fatigue considerations - Goodman diagram construction - Run-out criteria application - Notch sensitivity analysis - Statistical treatment of fatigue data - Design allowable determination - Fatigue test correlation ## Usage Guidelines ### When to Use - Predicting implant fatigue life - Designing fatigue testing protocols - Correlating FEA with bench testing - Supporting design verification ### Prerequisites - Stress analysis completed - Material fatigue properties available - Loading spectrum defined - Surface finish characterized ### Best Practices - Use appropriate fatigue methodology for loading type - Account for mean stress effects - Consider physiological environment effects - Correlate predictions with bench testing ## Process Integration This skill integrates with the following processes: - Finite Element Analysis for Medical Devices - Orthopedic Implant Biomechanical Testing - Design Control Process Implementation - Verification and Validation Test Planning ## Dependencies - fe-safe software - ANSYS nCode - ASTM F1717/F2077 standards - Material ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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