About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
In-Situ Monitoring and Control of Solidification & Deformation Processes in Metal Additive Manufacturing
|
| Presentation Title |
Infrared Imaging and Multiphysics Modeling for Prediction of Solidification Dynamics During Selective Laser Melting |
| Author(s) |
Vijay Kumar, Kaitlyn M. Mullin, Hyunggon Park, Matthew Matthew, Andrew Bresk, Tresa Pollock, Yangying Zhu |
| On-Site Speaker (Planned) |
Vijay Kumar |
| Abstract Scope |
This work integrates high-speed infrared (IR) imaging with 3D multiphysics simulation to predict subsurface transient temperature and solidification conditions during selective laser melting (SLM) of MAR-M247. We capture melt pool surface radiation at ~15,000 fps and convert it to temperature using a Planck’s law-based calibration. The experimentally obtained surface temperature is used as a boundary condition in a 3D COMSOL model, which solves for heat conduction, phase change (solid↔liquid), and sub-surface thermal Marangoni flow. Crucially, using measured surface temperature circumvents challenges of assuming laser absorptivity, radiative losses, or natural convection, common in conventional high-fidelity models. The model quantifies key solidification parameters—thermal gradient, solidification velocity, and solidification direction—at the solid-liquid interface. Validation is performed by comparing predicted melt pool geometry and microstructure features (depth, width, grain size, and orientation) against ex situ SEM characterization. This integrated experimental-modeling approach helps correlate spatio-temporally resolved solidification dynamics with solidified microstructure during SLM. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Solidification, Computational Materials Science & Engineering |