| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Towards Accurate Prediction
|
| Presentation Title |
Assessing Part-to-Coupon Porosity Equivalence for Fatigue of Powder Bed Fusion - Laser Beam Manufactured Ti-6Al-4V |
| Author(s) |
Justin Patrick Miner, Sneha Prabha Narra |
| On-Site Speaker (Planned) |
Justin Patrick Miner |
| Abstract Scope |
Previous studies in Powder Bed Fusion - Laser Beam (PBF-LB) explored porosity-fatigue relationships of extruded geometries, finding that the maximum pore size within the stressed volume correlates with fatigue properties. Extreme value statistics (EVS) has been utilized to predict the maximum pore size in larger volumes, however methods to compare maximum pore size distributions between coupons are limited. This work uses EVS to predict the maximum pore size in two geometries: a 4-point bend coupon and an axial fatigue coupon with slightly larger geometry at the same process conditions. We quantified uncertainty in the upper tail parameters and pore occurrence, finding significant differences in predicted maximum pore sizes between the two geometries in the same volume. X-ray Micro Computed Tomography revealed that larger axial coupons contained more lack-of-fusion porosity. This study underscores the need to establish part-to-coupon porosity equivalence for fatigue in PBF-LB to develop an appropriate witness coupon approach. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Titanium, Computational Materials Science & Engineering |