About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
Property Optimization Through Full-Part Thermal History Control in Laser Powder Bed Fusion Additive Manufacturing |
| Author(s) |
Jacob McCauley, William J Frieden Templeton, Mikhail Khrenov, Shawn Hinnebusch, Miguel Pena, Lin Shao, Albert C To, Sneha Narra |
| On-Site Speaker (Planned) |
Jacob McCauley |
| Abstract Scope |
Despite laser powder bed fusion's ability to fabricate critical components on-demand, maximizing strength in precipitation-hardened alloys like Alloy 718 still requires costly and time-consuming post-processing heat treatments. Thus, we explore whether precipitation hardening can instead be induced during fabrication itself by embedding an experimentally-fitted strengthening phase precipitation model in an axisymmetric lumped-layer thermal simulation coupled with an optimal control solver to prescribe optimal laser power and baseplate temperature trajectories throughout the build. In a heat accumulating geometry, the planned trajectory increased the mean as-built hardness improved uniformity from 374 ± 41 HV to 439 ± 29 HV without the use of a post-process aging heat treatment. These results are repeatable within 8% and establish a path to integrate microstructural aging control directly into the deposition step to achieve high-strength metallic components without an additional post-process heat treatment step. |