| About this Abstract |
| Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Symposium
|
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Presentation Title |
Modeling Microstructural Evolution in Laser Powder Bed Fusion with Kinetic Monte Carlo and Lattice-Boltzmann Cellular Automata Methods |
| Author(s) |
Joseph G. Pauza, Guannan Tang, Joseph W. Aroh, Anthony D. Rollett, Gregory D. Wong |
| On-Site Speaker (Planned) |
Gregory D. Wong |
| Abstract Scope |
Although the basics of solidification driven microstructural evolution is well understood, Laser Powder Bed Fusion produces components with complex grain structures which vary with laser settings and material properties. Because the grain formation occurs locally within the melt pool which is rastered in three dimensions and evolves with time, it adds to the difficulty of predicting the final microstructure. In this talk, we present a kinetic Monte Carlo (KMC) code which enables fast simulation of 3D solidification textures for a variety of processing parameters and scan strategies. It is discovered that the melt pool shape and the preferred growth direction relationship are the two fundamental factors to achieving reasonable microstructures that match with experiments. Another code based on a coupled Lattice Boltzmann and Cellular Automata approach considers more physics such as melt pool fluid flow and growth kinetics to simulate grain structures which will be compared with the KMC code. |
| Proceedings Inclusion? |
Definite: Other |