2021
DOI: 10.3390/cryst11091056
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Numerical Simulation of Three-Dimensional Dendrite Movement Based on the CA–LBM Method

Abstract: At present, the calculation of three-dimensional (3D) dendrite motion using the cellular automata (CA) method is still in its infancy. In this paper, a 3D dendrite motion model is constructed. The heat, mass, and momentum transfer process in the solidification process of the alloy melt are calculated using a 3D Lattice–Boltzmann method (LBM). The growth process for the alloy microstructure is calculated using the CA method. The interactions between dendrites and the melt are assessed using the Ladd method. The… Show more

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Cited by 4 publications
(2 citation statements)
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References 28 publications
(39 reference statements)
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“…The cellular automata (CA) [20][21][22] and phase-field (PF) models [23][24][25] are representative computational methods for studying dendrite growth. CA [26][27][28][29] and PF [30][31][32][33][34][35][36][37][38][39][40] models have also been applied to dendrite growth with solid motion and liquid flow. The CA model is capable of dendrite growth simulations for a larger domain than the PF model.…”
Section: Introductionmentioning
confidence: 99%
“…The cellular automata (CA) [20][21][22] and phase-field (PF) models [23][24][25] are representative computational methods for studying dendrite growth. CA [26][27][28][29] and PF [30][31][32][33][34][35][36][37][38][39][40] models have also been applied to dendrite growth with solid motion and liquid flow. The CA model is capable of dendrite growth simulations for a larger domain than the PF model.…”
Section: Introductionmentioning
confidence: 99%
“…In recent decades, many numerical models have been developed to simulate the evolution of dendritic morphologies during solidification. These include techniques such as level set [4], Monte Carlo [5], cellular automata [6][7][8][9][10][11], and the phase-field method (PFM) [12][13][14]. Amongst the various computational methods, phase-field methods have gained tremendous attention among researchers.…”
Section: Introductionmentioning
confidence: 99%