| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Towards Accurate Prediction
|
| Presentation Title |
Predicting Fracture Location in Additively Manufactured Metals Containing Porosity and Surface Defects |
| Author(s) |
Elliott Marsden, Brian Phung, Mira Terry, Ashley D. Spear |
| On-Site Speaker (Planned) |
Ashley D. Spear |
| Abstract Scope |
Predicting fracture location in additively manufactured (AM) metals is difficult given the complex interaction among defects. Previously, we derived a Void Descriptor Function (VDF) to predict fracture location given 3D pore networks by accounting for pore size, shape, and orientation; pore-pore interactions (clustering); and pore distance to nearest free surface. In the previous derivation and assessment of the VDF, only idealized smooth surfaces were considered. The objective of this work is to extend the VDF to accommodate surface defects and to study the interactive role of pore structures and surface defects on fracture behavior in AM metals. The work is the first to our knowledge that comprehensively tackles the challenge of handling both void defects and surface roughness in a systematic manner and delivers both scientific insight into the complex interactions between them as well as a tractable and pragmatic approach to predict fracture behavior in realistic metal AM specimens. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, Mechanical Properties |