| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing and Alloy Design: Bridging Fundamental Physical Metallurgy, Advanced Characterization Techniques, and Integrated Computational Materials Engineering for Advanced Materials
|
| Presentation Title |
Quantifying Thermal History in Laser Powder Bed Fusion Using In-Situ Sensing Techniques |
| Author(s) |
Holden C. Hyer, Brandon Schreiber, Daniel Sweeney, Christian Petrie |
| On-Site Speaker (Planned) |
Holden C. Hyer |
| Abstract Scope |
The fast-cooling rates observed in laser powder bed fusion (LPBF) yields a high degree of microstructural heterogeneity, curtailing confidence in future qualification of components for the nuclear industry. Machine learning algorithms can be leveraged to detect defects and anomalies in-situ by processing visible camera images. Defect detection is indeed important, but it doesn’t determine the most limiting microstructures and the influence of said defects on the microstructural evolution. Eliminating the uncertainty would require accurately mapping the thermal history of each observed microstructure. This work proposes using a fiber optic integrated pyrometer for rapid collection of the melt pool temperature, ahead of the formed plume, as well as distributed fibers, embedded just below the printed surface, to measure sub-surface temperatures and residual stresses. Discussion will include relating these fundamental measurements to the resulting microstructures, which can inform current machine learning efforts to be more deterministic as a qualification tool for LPBF. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Solidification, Characterization |