About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
O-11: Numerical Modelling of Powder Spreading, Meltpool Dynamics, and Grain Structure Evolution during Additive Manufacturing |
Author(s) |
Daniel Dreelan, Gowthaman Parivendhan, Philip Cardiff, Alojz Ivankovic, David J. Browne |
On-Site Speaker (Planned) |
Daniel Dreelan |
Abstract Scope |
The powder bed fusion (PBF) process, an additive manufacturing technique, uses a laser/electron beam to selectively melt and fuse metal powder in a layer-wise manner to fabricate products. The complexities that arise during fabrication can be modeled using numerical methods, aiding experiments to provide a better understanding of the process. Here we use discrete element method modelling to simulate the powder particles’ arrangement during spreading, and computational fluid dynamics simulations to predict the subsequent melt pool formation and dynamics. The thermal conditions during solidification are critical to the formation of microstructure. A cellular automata model is used to simulate grain structure evolution using the predicted thermal field: solidification kinetics are related to local liquid undercooling. The numerical meltpool and the microstructure prediction for different process parameters have good agreement with experimental results. The outcome will be used to develop a process-structure-property relationship, focusing on improving the capabilities of PBF processes. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, Additive Manufacturing |