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2015
DOI: 10.1016/j.commatsci.2015.04.035
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Cellular automaton simulation of three-dimensional dendrite growth in Al–7Si–Mg ternary aluminum alloys

Abstract: a b s t r a c tDue to the extensive applications in the automotive and aerospace industries of Al-7Si-Mg casting alloys, an understanding of their dendrite microstructural formation in three dimensions is of great importance in order to control the desirable microstructure, so as to modify the performance of castings. For this reason, a three-dimensional cellular automaton model (3-D CA) allowing for the prediction of dendrite growth of ternary alloys is presented. The growth kinetics of the solid/liquid (S/L)… Show more

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Cited by 79 publications
(26 citation statements)
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References 34 publications
(42 reference statements)
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“…This was done in order to better understand the microstructure evolution during the ordering processes at different isothermal holding temperatures in both γ and α phases. In this regard, phase-field modelling was employed because this method is currently considered as the most powerful approach for predicting the mesoscale morphological evolution [48,49,50,51,52,53,54,55,56,57]. For the simulation of the B2 phase in binary Fe-Al and ternary Fe-Al-Ni systems,…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…This was done in order to better understand the microstructure evolution during the ordering processes at different isothermal holding temperatures in both γ and α phases. In this regard, phase-field modelling was employed because this method is currently considered as the most powerful approach for predicting the mesoscale morphological evolution [48,49,50,51,52,53,54,55,56,57]. For the simulation of the B2 phase in binary Fe-Al and ternary Fe-Al-Ni systems,…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Cellular automation (CA) has been widely employed to simulate microstructural evolutions, e.g., solidification (Chen et al, 2015), phase transition (Bussemaker et al, 1997), grain growth (Davies, 1997;Gandin and Rappaz, 1997), static recrystallization (Kühbach et al, 2016;Marx et al, 1999), and dynamic recrystallization (Chen et al, 2010;Popova et al, 2015). The detailed theory for CA has been described in the literatures (Chen et al, 2009;Ding and Guo, 2001).…”
Section: Cellular Automaton Simulationmentioning
confidence: 99%
“…It is further observed in the CA models of two scales that both are faced with the same problems of grid anisotropy [13,28], transformation rules [14,29], and coupling methods [30]. From the point of view of the simulation method, the method for dealing with the same problem in the CA models of two scales are interrelated [16,31]. Nevertheless, there is a problem that the CA model of dendritic growth requires sufficiently higher mesh resolution than the CA model of grain growth [32].…”
Section: Introductionmentioning
confidence: 99%