| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Towards Accurate Prediction
|
| Presentation Title |
Fatigue Life Prediction in Powder Bed Fusion Method Using Modified Goodman Diagram with Residual Stress and Anomalies Weighting: Incorporating Strain Hardening, Cyclic Hardening, and Bauschinger Effect |
| Author(s) |
Hamed Hosseinzadeh |
| On-Site Speaker (Planned) |
Hamed Hosseinzadeh |
| Abstract Scope |
Accurate fatigue life prediction is essential for ensuring the reliability and performance of Powder Bed Fusion (PBF) components. This study introduces an advanced approach that combines elastoplastic thermomechanical simulation with residual stress analysis and stochastic anomaly weighting to enhance fatigue life predictions. Our sophisticated simulation algorithm incorporates isotropic strain hardening, the cyclic hardening effect, the Bauschinger effect, and stochastic methods to account for anomalies (defects) in the material. This approach uses the Goodman mean stress correction method, adjusting the mean stress to account for residual stresses and the probabilistic impact of defects. This method can map the fatigue life on the printed sample, allowing us to determine whether stress relief heat treatment is necessary for a desired application based on the predicted local fatigue life and residual stress profile. This study advances the understanding of fatigue and fracture behavior in additive manufacturing metals. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, ICME |