| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Process-induced Microstructures and Defects
|
| Presentation Title |
F-60: Using Part-scale In-situ Defect Formation Monitoring to Predict Fatigue Performance in LPBF |
| Author(s) |
Ziheng Wu, Justin P. Patridge, Nicholas P. Calta |
| On-Site Speaker (Planned) |
Ziheng Wu |
| Abstract Scope |
In-part porosity remains to be a major obstacle for the wider adoption of laser powder bed fusion. The evaluation of the porosity population in the AM components mostly relies on post-build characterizations which are often limited by tool availability and can be time consuming. Photodiode signal generated during printing carries information of pore formation. Many state-of-art in-situ monitoring efforts focus on signals from single tracks which may not represent the actual fabrication conditions because of the simpler thermal history, e.g., no remelting. In this study, we take remelting into account and connect the pore formation events with the photodiode signals on a part-scale level where the subsequent and adjacent remelting can interact with the existed pores. Each pore is assigned with a criticality index based on its size, shape, and location, etc. The criticality index is later validated by a set fatigue testing results from the corresponding AM printed coupons. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, |