About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Materials Design and Processing Optimization for Advanced Manufacturing: From Fundamentals to Application
|
Presentation Title |
High-fidelity Modeling of Multi-material Additive Manufacturing |
Author(s) |
Wentao Yan, Yanming Zhang, Zeshi Yang, Lu Wang |
On-Site Speaker (Planned) |
Wentao Yan |
Abstract Scope |
Additive manufacturing possesses promising capabilities of fabricating new materials by mixing multi-material powders and manipulating chemical compositions. In this talk, we will present our work on high-fidelity modeling of the complex additive manufacturing process: from powder spreading (powder bed fusion)/feeding (directed energy deposition) to laser/electron melting. To evaluate the mixture uniformity of the powder layer/stream, we employ the computational fluid dynamics (CFD) and discrete element method (DEM) coupling method to simulate the powder spreading/blowing processes of mixed multi-material powders. To thoroughly understand the material composition distribution in the melting procedure, we develop a multi-physics thermal-fluid flow model to simulate the different melting/flow/solidification behaviours of different powders as well as the interactions between solid powders and molten pool. All these models are validated against experiments, and show appealing potentials to provide guidance for additive manufacturing of mixed powders, e.g., for in-situ alloying for new materials and particle-reinforced composites. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Modeling and Simulation, Computational Materials Science & Engineering |