About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
Multi-Physics Simulation of Directed Energy Deposition With Blended Materials |
| Author(s) |
Chao Tang |
| On-Site Speaker (Planned) |
Chao Tang |
| Abstract Scope |
Directed energy deposition with blended materials has aroused growing interest due to its design freedom and potential industrial applications, such as coating, repairing, functionally graded materials. Establishing a multi-physics model for MM-DED will be important to reduce cost and help to accelerate parameter optimizations. An inhouse code was developed to simulate the deposition of blended powders during MM-DED fabrication. Based on computational fluid dynamics with OpenFOAM software, the inhouse model can be used to investigate various physics during the AM process, such as blended powder stream, laser-powder-substrate interactions, melt pool dynamics, materials distribution. The high-fidelity modelling paves the way for deeper understanding of the underlying mechanisms of MM-DED process. |