| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
|
| Presentation Title |
Modeling Fatigue Resistance in Additively Manufactured Alloys with Porosity Defects |
| Author(s) |
Krzysztof S. Stopka, Michael Sangid |
| On-Site Speaker (Planned) |
Krzysztof S. Stopka |
| Abstract Scope |
Widespread adoption of additively manufactured (AM) components is hindered due to porosity defects that often govern minimum fatigue life. Computational models can offer insight into failure mechanisms beyond the capabilities of experimental characterization. In this work, crystal plasticity simulations are employed to compute the micromechanical response of Ni-base superalloy IN718 in the low cycle fatigue regime. Digital microstructure models with realistic defects are instantiated using electron backscatter diffraction and computed tomography scans of AM builds intentionally seeded with different defect structures. The critical accumulated plastic strain energy density, a metric related to the material’s intrinsic resistance to fatigue crack initiation, is computed using an uncertainty quantification Bayesian inference framework with model results and fatigue lives from an experimental campaign. The discussion will highlight techniques for integrating experimental and model data to statistically quantify the debit in fatigue resistance due to distinct defect structures. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Additive Manufacturing, |