About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
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Symposium
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Additive Manufacturing Modeling, Simulation and Machine Learning
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Presentation Title |
On the of Rapid Solidification in Additive Manufacturing Conditions by Combining Multiscale Simulations and In-Situ Monitoring Techniques |
Author(s) |
Tatu Pinomaa, Adriana Eres-Castellanos, Joni Kaipainen, Joni Kaipainen, Nikolas Provatas, Amy J. Clarke, Anssi Laukkanen, Joseph T. McKeown, Thomas Voisin |
On-Site Speaker (Planned) |
Tatu Pinomaa |
Abstract Scope |
Simulating AM microstructures remains a formidable challenge. Focusing on pure aluminum and aluminum-copper alloys, we consider thin-film conditions via dynamic transmission electron microscopy (DTEM), followed by AM single scan tracks; for both cases, we acquire in-situ data about the melt pool geometry evolution, allowing for quantitative calibration of the thermal distributions in the simulations. We perform quantitative phase field simulations describing DTEM experiments, including heat diffusion and latent heat release via multi-grid method. The AM single scan tracks are paired with melt pool flow simulations, followed by phase field simulations in selected G-V conditions.
Our model predictions agree well with characterized microstructures in terms of microsegregation patterning and grain boundary trajectories. We discuss the general role of alloying in competitive grain growth in rapid solidification, and how growth morphologies affect grain boundary trajectories. We also examine precipitation, (mis)alignment of crystal 100-direction and thermal gradients, and crystal orientation gradients. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Solidification, Modeling and Simulation |