About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
Toward the Prediction of Location-specific Microstructures in Metallic Alloy Additive Manufacturing – Combining Phase-field and Fast Thermal Models |
Author(s) |
Jose Mancias, Robert Saunders, Raymundo Arroyave, Damien Tourret |
On-Site Speaker (Planned) |
Jose Mancias |
Abstract Scope |
Metal additively manufactured microstructures depend upon processing parameters, alloy composition, and part geometry. Even with a fixed alloy and manufacturing technique, local variations in the geometry of the printed part can result in changes in solidification conditions (e.g. temperature gradient, cooling rate), leading to microstructural gradients. Here, we present a physics-based modeling approach combining a geometry-aware fast thermal model and a phase-field (PF) model to predict location-specific microstructural heterogeneities. The thermal model is based on the NRL Enriched Analytical Solution Model (NEASM) [Additive Manufacturing 25 (2019) 437]. The PF model incorporates a relaxation of the partition coefficient at the solid-liquid interface enabling deviation form solid-liquid interface equilibrium [Computational Materials Science 188 (2021) 110184]. By combining these methods, we can predict microstructure heterogeneities arising from part geometry, such as corners and edges, in fusion-based additive manufacturing processes. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Modeling and Simulation, Solidification |