| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Developing Predictive Capabilities
|
| Presentation Title |
Predicting Structural Integrity of Additively Manufactured Parts Using Probabilistic Damage Tolerance |
| Author(s) |
Robert Mcclung |
| On-Site Speaker (Planned) |
Robert Mcclung |
| Abstract Scope |
Because fatigue failure in Additively Manufactured (AM) parts is often defect-controlled, conventional predictive methods for structural integrity may not always be appropriate, especially for components of higher criticality. This presentation will discuss the ongoing adaptation of established zone-based probabilistic damage tolerance (PDT) methods and software for safety-critical AM applications. These PDT methods explicitly address the potential size and frequency of material defects remaining in the part when it enters service, including the influences of nondestructive inspection, and they explicitly address the possibility that a fatal defect could occur nearly anywhere in the part. Topics to be addressed will include alternative analysis strategies, challenges for software tools and supporting materials data, case studies, and experimental validation. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, Other |