About this Abstract |
Meeting |
6th International Congress on 3D Materials Science (3DMS 2022)
|
Symposium
|
6th International Congress on 3D Materials Science (3DMS 2022)
|
Presentation Title |
Evaluation of an Improved Void Descriptor Function to Uniquely Characterize Three-dimensional Pore Networks and to Predict Failure Location in Additively Manufactured Metals |
Author(s) |
Dillon Watring, Jake T Benzing, Orion L Kafka, Li-Anne Liew, Newell H Moser, John Erickson, Nikolas Hrabe, Ashley D Spear |
On-Site Speaker (Planned) |
Dillon Watring |
Abstract Scope |
Subtle differences among additive manufacturing process parameters lead to variations in three-dimensional pore networks and complicate the prediction of void-sensitive mechanical behaviors. The current work expands upon a recently developed pore metric, the void descriptor function (VDF), by accounting for interactions among three-dimensional neighboring pores and stress concentrations induced by non-spherical pores. The modified VDF is evaluated against 120 computationally generated fracture simulations and six physical mesoscale tensile specimens of as-built laser powder bed fused IN718. The latter set of experiments, which include X-ray computed tomography measurements, enables evaluation against pore populations that are representative of three-dimensional defects commonly observed in AM metals. In the experimental data set, the modified VDF accurately predicts the location of fracture in five out of six specimens compared to only two out of the six for the original VDF. This improved function enables accurate predictions of fracture locations in AM metals. |
Proceedings Inclusion? |
Definite: Other |