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Journal Article

Improved multi-order parameter and multi-component model of polycrystalline solidification

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Citation

Yang, L., Dong, Z., Wang, L., & Provatas, N. (2022). Improved multi-order parameter and multi-component model of polycrystalline solidification. Journal of Materials Science & Technology, 101, 217-225. doi:10.1016/j.jmst.2021.06.017.


Cite as: https://hdl.handle.net/21.11116/0000-0009-67C1-9
Abstract
In this paper, we present an improved multi-order parameter model for multi-component model of polycrystalline solidification. We introduce an interpolation function in the phase field dynamical equation to obtain controllable grain boundary energy at large undercooling. The same interpolation function is also employed in the kinetics coefficient to allow for better control of grain boundary migration. Temperature dependent phase field parameters and noise terms are consistently coupled into the dynamics of a binary system in a manner that allows for quantitative simulations in the thin interface limit. The model is applied to multi-phase solidification in Al-Cu alloy, where a parabolic fitting method is employed to model the free energy of Al-Cu phases and two-phase nucleation is demonstrated in directional solidification. © 2021