| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing of Metals: Applications of Solidification Fundamentals
|
| Presentation Title |
Modeling Grain Refinement for Metallic Additive Manufacturing |
| Author(s) |
Yijia Gu |
| On-Site Speaker (Planned) |
Yijia Gu |
| Abstract Scope |
Experimentally, it has been demonstrated that grain refinement is one of the most effective ways to improve manufacturability for metallic additive manufacturing (AM). However, the grain refining mechanism of AM is still largely unknown. Many fundamental questions remain to be addressed. In this work, we will employ a phase-field model and the free growth model to investigate the grain refinement for AM. Realistic solutal and thermal diffusion are coupled into the phase-field model. We will discuss the fundamentals aspects, such as the effect of dissipation of latent heat, size and distribution of inoculant particles, interface velocity, solute trapping, and cooling rate on the grain refinement during AM process. Our results will shed light on the precise control of grain structures and the designing of effective grain refiners for AM. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Solidification, Computational Materials Science & Engineering |