| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Towards Rapid Qualification
|
| Presentation Title |
In-situ Fatigue Life Prediction with Simulated Defects for Additive Manufacturing Process |
| Author(s) |
Xueyong Qu, Leland Shimizu, Jacob Rome |
| On-Site Speaker (Planned) |
Xueyong Qu |
| Abstract Scope |
In-situ detection of defects during additive manufacturing (AM) and prediction of part performance in real time are areas of active research. Ideally, a real-time fatigue analysis would be performed during printing using real-time detected flaws, stopping the print if requirements are not met. Since in-situ defect detection technology is not mature, an alternate approach is used to demonstrate the workflow. Defect size and spatial distribution are simulated based on statistical data characterized from an ex-situ computer tomography scan of similar builds. This simulated distribution is fed layer-by-layer to a model to simulate the build process; In-situ fatigue life is calculated by fatigue crack growth of defects up to current built height. Variation of material properties through the partially built part and their influence on life are modelled by probabilistic fracture mechanics. It is shown that fatigue life generally decreases with the increase of build height and associated number of defects. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, Mechanical Properties |