| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
|
| Presentation Title |
A Microstructural Model for Fatigue in NiTi Shape Memory Alloy Based on Information Fusion from Advanced Experiments and Simulation |
| Author(s) |
Harshad Paranjape, Darren Pagan, Sivom Manchiraju, Peter Anderson, Craig Bonsignore, Justin Gilbert, Ich Ong, Lot Vien |
| On-Site Speaker (Planned) |
Harshad Paranjape |
| Abstract Scope |
Prediction of the fatigue lifetime of phase transforming structural materials such as NiTi shape memory alloys requires inputs that characterize the microstructure and the deformation due to cyclic loading. We fused information from multiple experiments and simulations — cycles-to-failure from fatigue experiments spanning the typical loading condition space, spatially-resolved phase transformation extent during fatigue loading from in-situ high-energy X-ray diffraction, local strains from microstructural finite element simulations and stereo digital image correlation measurements, non-metallic impurity inclusion size distribution from micro CT scans — to develop a microstructural model for fatigue in NiTi. The proposed microstructural model for fatigue life is based on the size distribution of impurity inclusions and the amplitude of phase transformation volume during a cycle. These factors control the amount of local damage that leads to fatigue crack initiation. We also present results that elucidate the mechanistic difference between high-cycle and low-cycle fatigue in shape memory alloys. |
| Proceedings Inclusion? |
Planned: |