About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
|
Symposium
|
Additive Manufacturing Modeling, Simulation and Machine Learning
|
Presentation Title |
Integrating CAFE with MOOSE for Microstructure Evolution Analysis in 316L Stainless Steel 3D Printing Process |
Author(s) |
Tsu-Chun Teng, Dewen YuShu, Luis Nuñez, Wen Jiang |
On-Site Speaker (Planned) |
Tsu-Chun Teng |
Abstract Scope |
Metal additive manufacturing (AM) revolutionizes production with complex designs and rapid prototyping. However, simulating microstructure evolution under various parameters, such as powder feeding rate and laser power, remains challenging. This study integrates MOOSE (Multiphysics Object-Oriented Simulation Environment) to simulate the thermal-fluid dynamics of the melt pool, replacing traditional analytical solutions for generating temperature fields. These physics-based temperature fields input to the Cellular Automaton Finite Element (CAFE) model enhance the accuracy of melt pool geometry and overcooling rate, predicting grain microstructure evolution. The study investigated the impact of key parameters on microstructure evolution. 316L stainless steel printing on single-track clads with varying powder feeding rates and laser power was simulated. The predicted microstructure morphology and crystallographic texture, analyzed using the MTEX toolbox, were validated against EBSD measurements. This framework will be further improved by tightly coupling thermal-fluid simulation and CAFE modeling, which remains as future work. |
Proceedings Inclusion? |
Planned: |
Keywords |
Iron and Steel, Modeling and Simulation, Solidification |