About this Abstract |
| Meeting |
TMS Specialty Congress 2026
|
| Symposium
|
World Congress on Reproducibility, Qualification, and Standards Development of Additive Manufacturing and Beyond (RQSD 2026)
|
| Presentation Title |
Delta Qualification in Laser Powder Bed Fusion Using Midwave Infrared–Informed Finite
Element–Cellular Automata Modeling |
| Author(s) |
Pheobe Appel, Li Ma, Jolyon Zook, Kourtney Porsch, Frank Winterling, Ari Lax, Collin Kofroth, James Sobotka, Callie Zawaski, Guha Manogharan, Brendan P. Croom |
| On-Site Speaker (Planned) |
Pheobe Appel |
| Abstract Scope |
We present a part-scale microstructure prediction pipeline for laser powder bed fusion (LPBF) that enables microstructure-informed qualification. The workflow couples high-speed thermal imaging, high-resolution finite-element (FE) melt-pool modeling, and cellular automata (CA) microstructure prediction. Calibrated midwave infrared cameras measure interlayer temperatures at <1×1 mm˛ which provide FE boundary conditions and decompose the problem into computationally tractable 1×1 mm˛ regions (rather than part- or layer-scale). FE solidification histories are passed to ExaCA, a CA software that predicts nucleation, grain size/morphology, and texture, yielding melt-pool performance relevant metrics. We validate the pipeline across multiple LPBF systems and processing conditions, such as scan-vector length and interlayer temperature, demonstrating transferability and reproducibility. We introduce a delta-qualification workflow that compares predicted descriptors between reference and candidate machines to reduce mechanical testing while preserving rigor. Finally, we run policy-aware what-if control studies (e.g., adaptive laser power to offset temperature drift) to inform standards and control strategies. |
| Proceedings Inclusion? |
Undecided |