| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Towards Rapid Qualification
|
| Presentation Title |
Fatigue-based Process Window for Laser Powder Bed Fusion Additive Manufacturing |
| Author(s) |
Tharun Reddy, Austin Ngo, Justin Miner, Christian Gobert, Jack Beuth, John J Lewandowski, Anthony D Rollett, Sneha P Narra |
| On-Site Speaker (Planned) |
Tharun Reddy |
| Abstract Scope |
Process mapping techniques are widely used by the additive manufacturing (AM) community to determine optimal processing parameters for fabricating porosity-free parts. However, applying these techniques to fabricate fatigue-sensitive AM parts requires validating defect regimes (i.e., keyhole, lack-of-fusion, and balling) in power-velocity space directly through fatigue testing. To this end, we utilize the defect-structure process maps framework to define a process window for laser powder bed fusion of Ti-6Al-4V and evaluate the robustness of regime boundaries based on fatigue properties. Defect content in builds was characterized using 2D metallography and X-ray micro-computed tomography and compared with defect regime boundaries and corresponding fatigue performance. Results show that (i) the optimal process window for fatigue properties is smaller than the one defined using process mapping techniques; (ii) the LOF boundary is not as robust as the keyhole boundary; and (iii) the defect number density metric strongly correlates with fatigue behavior than other metrics. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Mechanical Properties, |