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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing Modeling, Simulation and Artificial Intelligence
Presentation Title Leveraging Laser Parameters and Layer Remelting to Tailor Microstructure in Laser Powder Bed Fusion
Author(s) Nicole K. Aragon, Theron Rodgers, Daniel Moser
On-Site Speaker (Planned) Nicole K. Aragon
Abstract Scope Additive manufacturing (AM) processes, such as laser powder bed fusion (LPBF), provide unique opportunities to create freeform and complex parts. However, AM processing conditions significantly influence the as-solidified microstructure. In addition, AM processes introduce additional complexities such as remelting due to subsequent laser passes. We present a three-dimensional model that simulates solidification, solid-state evolution phenomena, and texture evolution using Monte Carlo methods. The simulations couple microstructure evolution with an analytical Green’s function-based thermal model to create a fully integrated microstructural prediction tool. The developed tool is used to study LPBF of 316L stainless steel. In this work, several process conditions are considered along with additional layer remelting strategies using low and high energy densities to evaluate the effect on grain morphology and texture. The simulation results are validated with experiments performed at equivalent process parameters. Results show that grain size and texture strength increase with total energy density.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Modeling and Simulation, Computational Materials Science & Engineering

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