2018
DOI: 10.1016/j.commatsci.2018.02.003
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Fast simulations of a large number of crystals growth in centimeter-scale during alloy solidification via nonlinearly preconditioned quantitative phase-field formula

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Cited by 35 publications
(29 citation statements)
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“…The numerical accuracy and efficiency of the preconditioned PF formula has been examined carefully [38]. The detailed numerical and material parameters can be referred to our previous study [39], but C0 is set to be 1 wt.% to result in a larger capillary length.…”
Section: The Quantitative Pf Model Of Equiaxed Dendritic Growth Of a ...mentioning
confidence: 99%
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“…The numerical accuracy and efficiency of the preconditioned PF formula has been examined carefully [38]. The detailed numerical and material parameters can be referred to our previous study [39], but C0 is set to be 1 wt.% to result in a larger capillary length.…”
Section: The Quantitative Pf Model Of Equiaxed Dendritic Growth Of a ...mentioning
confidence: 99%
“…The parallel adaptive finite element method, with multiple processors using distributed memory based on the MPI protocol, is employed to solve the nonlinearly preconditioned PF model. Numerical implementations are realized by the open source deal.II library [40], and the adaptive mesh refinement/coarsening is achieved through a simple but efficient approach [38]. The front-tracking method [38] is used to capture crystallographic orientations to improve the computing efficiency dramatically.…”
Section: The Numerical Implementationsmentioning
confidence: 99%
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“…Therefore, developing a 3D solidification model and the corresponding in-house codes to study the formation of macrosegregation in 3D cavities is necessary [23,24]. Furthermore, the developed model for macrosegregation simulation can be integrated with the cellular automation model [25] or phase field model [26] to predict microstructure formation, which is not common in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…In the last few years, the quantitative large-scale PF simulations have been achieved [24][25][26], due to the rapid development of numerical methods and computer hardware. In this paper, the large-scale quantitative 2D PF simulations are carried out using the fast simulation schemes proposed in our previous study [25], to reproduce the in situ and real-time observed polycrystalline solidification experiments of Al-4 wt.% Cu alloys under the continuous cooling condition.…”
Section: Introductionmentioning
confidence: 99%