| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Materials in Energy Environments II
|
| Presentation Title |
High performance computing-enabled laser powder bed fusion (L-PBF) manufacturing of high gamma prime alloy |
| Author(s) |
Jiahao Cheng, Ning Zhou, Patxi Fernandez-Zelaia, Tao Wang, Gian Colombo , Austin Dicus , Stephane Forsik , Mario E Epler , Michael M Kirka |
| On-Site Speaker (Planned) |
Jiahao Cheng |
| Abstract Scope |
The laser powder bed fusion (L-PBF) processes can produce excessive and nonuniform residual stresses when manufacturing highly complex and integrated parts, leading to quality uncertainties and risk of unexpected failure. In this presentation, we demonstrate the use of a high-fidelity simulation approach to compute the residual stress and microstructure evolution during the manufacturing process of complex geometries, in order to screen printing strategies and avoid defective parts. The model is based on the recently developed multi-spatial-temporal finite element (MUST-FE) method, which utilizes a-priori constructed hierarchical FE domains and concurrent FE solving with adaptive field projections. A nickel-based high gamma prime alloy is used for demonstration, as it exhibits premature cracks in service or during heat treatment at certain intricate geometric locations. The MUST-FE model shows different residual stress distributions and magnitudes under various combination of printing parameters and strategies, with emphasis on local regions of high-stress concentrations. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, Copper / Nickel / Cobalt |