About this Abstract |
Meeting |
6th International Congress on 3D Materials Science (3DMS 2022)
|
Symposium
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6th International Congress on 3D Materials Science (3DMS 2022)
|
Presentation Title |
Numerical Simulation for Prediction of Gas Porosity and Microstructure in Solidifying Aluminium Alloy Using LBM-CA (Cellular Automata) Model |
Author(s) |
Wonjoo Lee, Yuhyeong Jeong, Howon Lee, Seong-hoon Kang, Jonghun Yoon |
On-Site Speaker (Planned) |
Wonjoo Lee |
Abstract Scope |
In the current study, a three-dimensional (3D) LBM (lattice Boltzmann method)-CA model has been constructed to predict the microstructure evolution including the dendritic structure and micro porosities during the solidification process with taking into consideration of fluid flow of molten metal, which is able to demonstrate the dendrite morphologies and solute redistributions. To validate the constructed numerical model, as-casted microstructure in a casting process has been examined with experimental results in terms of the dendrite formation and texture distribution. To predict the dendrite morphology, microstructure, and porosity evolution in the solidification of molten metal, numerically, LBM-CA model has been developed by integrating the lattice Boltzmann method (LBM) to solve the mass transport by diffusion and convection during solidification and cellular automata (CA) to determine the phase transformation with respect to the solid fraction based on the local equilibrium theory. |
Proceedings Inclusion? |
Definite: Other |