Efficient model for the prediction of dendritic grain growth using the lattice Boltzmann method coupled with a cellular automaton algorithm

Joint 5th International Conference on Advances in Solidification Processes;5th International Symposium on Cutting Edge of Computer Simulation of Solidification, Casting and Refining

土木建筑工程;计算机科学

Jäger, Stephan^1 ; Ludwig, Andreas^2

Light Metals Technologies Ranshofen, Center for Low-Emission Transport, Austrian Institute of Technology, Braunau am Inn - Ranshofen

5282, Austria^1

Simulation and Modelling of Metallurgical Processes, Department of Metallurgy, University of Leoben, Leoben

8700, Austria^2

关键词: Dendrite arms;    Dendritic grain growth;    During phase;    Evolution of grain;    Lattice Boltzmann method;    Solid-liquid interfaces;    Still missing;    Time step size;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/529/1/012028/pdf
DOI  :  10.1088/1757-899X/529/1/012028

来源: IOP

【 摘 要 】

An efficient model for the prediction of dendritic grain growth is developed coupling the lattice Boltzmann method for solving the transport of solute and a cellular automaton algorithm for determining the evolution of grains' envelope and the release of solute during phase change. In contrast to solving equations from the field of continuum mechanics the new model is more related to particular occasions what is more similar to the behaviour of cellular automaton algorithms. The resulting dendritic grain growth shows qualitative correctness, although the consideration of solute conservation is still missing. It is shown that neglecting proposed conditions regarding the choice of time step size can destabilize the solid-liquid interface resulting in secondary and ternary dendrite arms.