About this Abstract |
Meeting |
2026 TMS Annual Meeting & Exhibition
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Symposium
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Additive Manufacturing of Metals: Multiscale and Non-Equilibrium Solidification Fundamentals
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Presentation Title |
Prediction of composition-dependent grain structures in LPBF austenitic stainless steel using a two-phase cellular automata model |
Author(s) |
Matthew Rolchigo, John Coleman, Gerry Knapp, Selda Nayir, Alex Plotkowski, Peeyush Nandwana |
On-Site Speaker (Planned) |
Matthew Rolchigo |
Abstract Scope |
While LPBF-produced 316 series steels consist nearly entirely of austenite at room temperature, 316L and 316H often have disparate grain structures owing to composition-dependent phase transformation pathways. In 316L, the presence of as-solidified austenite near the fusion line and as-solidified ferrite near the melt pool centers is unexpected based on solidification theory, which predicts ferrite formation near the slowly solidifying melt pool edges and austenite in the quickly solidifying centers. Using derived interfacial response functions for dendritic solidification and a two-phase cellular automata model for coupled nucleation and solidification of ferrite and austenite, the spatial distribution of solidification phases in LPBF 316L is reproduced, as is the purely austenitic solidification of 316H. The model is validated against builds using both materials, reproducing relationships between grain size and input energy density. Solidification phase selection sensitivity to model inputs is also discussed for both alloys. Funded by US DOE NE and EERE. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Modeling and Simulation, Solidification |