| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing Modeling and Simulation: AM Materials, Processes, and Mechanics
|
| Presentation Title |
A Discrete Dendrite Dynamics Model for Fast Epitaxial Columnar Grain Growth in Metal Additive Manufacturing |
| Author(s) |
Santanu Paul, Yunhao Zhao, Soumya Sridar, Wei Xiong, Michael Klecka, Albert To |
| On-Site Speaker (Planned) |
Albert To |
| Abstract Scope |
In this work, an efficient model called Discrete Dendrite Dynamics (DDD) is proposed to simulate the competitive growth of epitaxial columnar dendritic grains. The proposed model tracks the dynamic changes in the dendrites emanating from discrete points along the solid/liquid interface of a quasi-steady melt pool. Additionally, the branching mechanism due to change in the primary dendrite growth direction is also included in the model. The model is extended to predict the microstructure of large 3D parts and experimentally validated by comparing the simulation results for Laser Powder Bed Fusion (LPBF) and Wire-Arc Additive Manufacturing (WAAM) processes. The microstructure and pole figures are predicted for Inconel 718 samples produced by LPBF and Inconel 740H samples produced by WAAM processes. A good match between the prediction and experiments is observed for the microstructure and pole figures for both the LPBF and WAAM processes. |