Modeling motion and growth of multiple dendrites during solidification based on vector-valued phase field and two-phase flow models

被引:14
作者
Ren, Jian-kun [1 ,2 ]
Chen, Yun [3 ]
Cao, Yan-fei [3 ]
Sun, Ming-yue [1 ,3 ]
Xu, Bin [1 ,3 ]
Li, Dian-zhong [3 ]
机构
[1] Chinese Acad Sci, Inst Met Res, Key Lab Nucl Mat & Safety Assessment, Shenyang 110016, Peoples R China
[2] Univ Sci & Technol China, Sch Mat Sci & Engn, Shenyang 110016, Peoples R China
[3] Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, Shenyang 110016, Peoples R China
来源
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY | 2020年 / 58卷
基金
中国国家自然科学基金;
关键词
Phase field; Solidification; Two-phase flow; Dendrite's motion; Variable viscosity; FLUID-STRUCTURE-INTERACTION; ALLOY SOLIDIFICATION; POLYCRYSTALLINE SOLIDIFICATION; INCOMPRESSIBLE FLOWS; SOLID DEFORMATION; SIMULATIONS; COMPRESSION; FORMULATION;
D O I
10.1016/j.jmst.2020.05.005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Movement and growth of dendrites are common phenomena during solidification. To numerically investigate these phenomena, two-phase flow model is employed to formulate the FSI (fluid-structure interaction) problem during dendritic solidification. In this model, solid is assumed to have huge viscosity to maintain its own shape and an exponential expression is constructed to describe variable viscosity across s-l (solid-liquid) interface. With an effective preconditioner for saddle point structure, we build a N-S (Navier-Stokes) solver robust to tremendous viscosity ratio (as large as 10(10)) between solid and liquid. Polycrystalline solidification is computed by vector-valued phase field model, which is computationally convenient to handle contact between dendrites. Locations of dendrites are updated by solving advection equations. Orientation change due to dendrite's rotation has been considered as well. Calculation is accelerated by two-level time stepping scheme, adaptive mesh refinement, and parallel computation. Settlement and growth of a single dendrite and multiple dendrites in Al-Cu alloy were simulated, showing the availability of the provided model to handle anisotropic growth, motion and impingement of dendrites. This study lays foundation to simulate solidification coupled with deformation in the future. (C) 2020 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
引用
收藏
页码:171 / 187
页数:17
相关论文
共 48 条
[1]  
A.S.M.I.H. Committee, ASM HDB, V15, P474
[2]  
[Anonymous], 2016, SpringerMaterials
[3]   Box-relaxation based multigrid solvers for the variable viscosity Stokes problem [J].
Borzacchiello, Domenico ;
Leriche, Emmanuel ;
Blottiere, Benoit ;
Guillet, Jacques .
COMPUTERS & FLUIDS, 2017, 156 :515-525
[4]   Adaptive phase field simulation of dendritic crystal growth in a forced flow: 2D vs 3D morphologies [J].
Chen, C. C. ;
Tsai, Y. L. ;
Lan, C. W. .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2009, 52 (5-6) :1158-1166
[5]   A quantitative phase-field model combining with front-tracking method for polycrystalline solidification of alloys [J].
Chen, Yun ;
Qi, Xin Bo ;
Li, Dian Zhong ;
Kang, Xiu Hong ;
Xiao, Na Min .
COMPUTATIONAL MATERIALS SCIENCE, 2015, 104 :155-161
[6]   A conservative phase field method for solving incompressible two-phase flows [J].
Chiu, Pao-Hsiung ;
Lin, Yan-Ting .
JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (01) :185-204
[7]   A time-stepping scheme involving constant coefficient matrices for phase-field simulations of two-phase incompressible flows with large density ratios [J].
Dong, S. ;
Shen, J. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2012, 231 (17) :5788-5804
[8]  
Echebarria B, 2004, PHYS REV E, V70, DOI 10.1103/PhysRevE.70.061604
[9]   Development of a Stokes flow solver robust to large viscosity jumps using a Schur complement approach with mixed precision arithmetic [J].
Furuichi, Mikito ;
May, Dave A. ;
Tackley, Paul J. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (24) :8835-8851
[10]   Quantitative comparison of dendritic growth under forced flow between 2D and 3D phase-field simulation [J].
Gong, Tong Zhao ;
Chen, Yun ;
Li, Dian Zhong ;
Cao, Yan Fei ;
Fu, Pai Xian .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2019, 135 :262-273