About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
Additive Manufacturing of Metals: Applications of Solidification Fundamentals
|
Presentation Title |
Prediction of Large-scale 3D Solidification Microstructure Evolution during Metal Additive Manufacturing with High Efficiency and Resolution |
Author(s) |
Shunyu Liu, Yung C. Shin |
On-Site Speaker (Planned) |
Shunyu Liu |
Abstract Scope |
Prediction of solidification microstructure during fusion-based metal additive manufacturing should be on large-scale with a high resolution of microstructural features to capture the influence of the 3D temporal and spatial thermal history and non-equilibrium metallurgical feature. This talk will present a comparative study between a probabilistic 3D cellular automata (CA) model and a newly developed convergent 3D cellular automata-phase field (CA-PF) model. The 3D CA model has a simple algorithm and high efficiency, and can predict the grain growth pattern in response to the thermal history but fails to capture the microstructural details resulting from the thermodynamic effects. To address this limitation, the deterministic PF model is used to accurately calculate the solidification kinetics at the solid-liquid interface. Informed by solidification kinetics, the 3D CA model could capture the microstructural details and composition evolution during solidification. As a result, the 3D CA-PF model balances efficiency, accuracy, and resolution. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Solidification |