About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing: Equipment, Instrumentation and In-Situ Process Monitoring
|
| Presentation Title |
Rapid Modeling and Prediction of Thermal Strain in Laser Powder Bed Fusion |
| Author(s) |
Prahalada K. Rao, Reagan Orth |
| On-Site Speaker (Planned) |
Prahalada K. Rao |
| Abstract Scope |
The goal of this work is the rapid prediction of thermal strain in LPBF parts. Understanding, prediction and control of thermal strain in LPBF is important, because residual stresses caused by thermal strain result in multi-scale defects, ranging from cracking at the micro-scale to distortion and recoater crashes at the macro-scale. Rapid and accurate prediction of thermal strain would enable practitioners to design and optimize part designs and corresponding parameters to avoid thermal-induced flaw formation. While conventional mesh-based finite element (FE) approaches can predict thermal strain, runtimes for complex parts quickly become prohibitive for rapid design iteration. To realize the goal of rapid estimation of thermal strain, the objectives of this work is to develop, verify, and validate a mesh-free graph based approach to predict the thermal strain. This work would therefore reduce the cost and time required for empirical design iterations and parameter optimization. |
