About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Materials, Processes and Applications for Energy Industry
|
| Presentation Title |
High-Performance Computing-Driven Simulation of L-PBF and Heat Treatment in Gamma Prime Alloys |
| Author(s) |
Jiahao Cheng, Ning Zhou, Tao Wang, Patxi Fernandez-Zelaia, Frank Brinkley, Stephane Forsik, Austin Dicus, Gian Colombo, Michael Kirka, Mario Epler |
| On-Site Speaker (Planned) |
Jiahao Cheng |
| Abstract Scope |
Laser powder bed fusion (L-PBF) manufacturing of high-gamma-prime nickel alloys can introduce excessive and nonuniform residual stresses when fabricating complex, integrated components. These stresses, combined with microstructure evolution during post-build heat treatment, can lead to cracking and unexpected failure. In this work, we develop a thermal-mechanical L-PBF process simulation to compute the as-built residual stress, followed by a heat treatment model that captures microstructural evolution and predicts crack initiation under non-ideal stress conditions. A nickel-based high gamma prime alloy is used as a case study. By designing different L-PBF artifact geometries, we intentionally vary the residual stress concentration to evaluate material response and uncover the associated failure mechanisms. This integrated simulation framework, enabled by high-performance computing, provides a predictive capability for screening process designs and materials for crack resistance and reliability in advanced manufacturing. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Modeling and Simulation |