About this Abstract |
Meeting |
2021 TMS Annual Meeting & Exhibition
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Symposium
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Computational Techniques for Multi-Scale Modeling in Advanced Manufacturing
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Presentation Title |
Fluid Dynamics Effects on Microstructure Prediction in Single-Laser Tracks for Additive Manufacturing |
Author(s) |
Adrian S. Sabau, Lang Yuan, Narendran Raghavan, Matthew Bement, John Turner |
On-Site Speaker (Planned) |
Adrian S. Sabau |
Abstract Scope |
The Laser Powder Bed Fusion Additive Manufacturing (LPBFAM) is one of the most important processes for the production of complex, high-performance end-use metal parts. Single-tracks laser fusion were simulated using a heat-transfer-solidification-only (HTS) model and its extension with fluid dynamics (HTS_FD) model using Truchas, a Los Alamos National Laboratory parallel open-source code, which included laminar fluid dynamics, flat-free surface, heat transfer, phase-change, evaporation, and surface tension phenomena. Correlation-based models for primary dendrite arm spacing (PDAS) using thermal gradient (G) and solidification velocity(V) were evaluated using the data on G and V from both HTS and HTS_FD simulations in order to quantify the effect of the fluid dynamics on the microstructure. Simulation results for PDAS indicate that fluid dynamics affects the solidification microstructure and yields more accurate results for PDAS. A new PDAS correlation, based on (G, V) results from the HTS_FD model was developed and validated against experimental results. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Solidification |