An Improved Cellular Automata Solidification Model Considering Kinetic Undercooling

被引:7
作者
Liang, Xiaohui [1 ]
Bos, Cornelis [1 ,2 ]
Hermans, Marcel [1 ]
Richardson, Ian [1 ,3 ]
机构
[1] Delft Univ Technol, Mat Sci & Engn, Mekelweg 2, NL-2628 CD Delft, Netherlands
[2] Tata Steel, Res & Dev, NL-1970 CA Ijmuiden, Netherlands
[3] IR Welding Consultancy, NL-2651 LV Berkel, Netherlands
来源
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE | 2023年 / 54卷 / 03期
关键词
DENDRITIC GROWTH; MICROSTRUCTURE EVOLUTION; SIMULATION; MULTICOMPONENT; MICROSEGREGATION;
D O I
10.1007/s11663-023-02742-3
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A cellular automata (CA) model has been developed for solidification simulation considering the kinetic undercooling at the interface. The state-of-the-art model incorporates a decentered growth algorithm to suppress the grid anisotropy and a generalized height function method to calculate the curvature accurately. To develop a CA model which is independent of the mesh size, a new diffusion term is proposed to handle the diffusion between the interface cells and liquid cells. The developed CA model is employed to simulate the single-dendritic solidification of an Al-3Cu (wt pct) alloy. The simulated tip velocities agree with the prediction of the Kurz-Giovanola-Trivedi (KGT) model. Further studies show that the developed CA model converges to an equilibrium model with increasing kinetic mobility values. Moreover, it is found that the virtual liquid cell assumption which is commonly used in existing CA models may lead to a deviation in the mass balance. The mass balance error has been resolved by redistributing solutes from neighboring liquid cells in each time step. The developed CA model could be potentially used in solidification simulations with a high undercooling, which is common in welding and additive manufacturing.
引用
收藏
页码:1088 / 1098
页数:11
相关论文
共 40 条
[1]  
[Anonymous], 2011, ARCH FOUNDRY ENG
[2]   Simulations of microstructure coupling with moving molten pool by selective laser melting using a cellular automaton [J].
Ao, Xiaohui ;
Xia, Huanxiong ;
Liu, Jianhua ;
He, Qiyang .
MATERIALS & DESIGN, 2020, 185
[3]   A quantitative dendrite growth model and analysis of stability concepts [J].
Beltran-Sanchez, L ;
Stefanescu, DM .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2004, 35A (08) :2471-2485
[4]   Growth of solutal dendrites: A cellular automaton model and its quantitative capabilities [J].
Beltran-Sanchez, L ;
Stefanescu, DM .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2003, 34 (02) :367-382
[5]   A 3D cellular automaton algorithm for the prediction of dendritic grain growth [J].
Gandin, CA ;
Rappaz, M .
ACTA MATERIALIA, 1997, 45 (05) :2187-2195
[6]   Cellular automaton modeling for dendritic growth during laser beam welding solidification process [J].
Geng, Shaoning ;
Jiang, Ping ;
Ai, Yuewei ;
Chen, Rong ;
Cao, LongChao ;
Han, Chu ;
Liu, Wei ;
Liu, Yang .
JOURNAL OF LASER APPLICATIONS, 2018, 30 (03)
[7]   A level set approach for the numerical simulation of dendritic growth [J].
Gibou, F ;
Fedkiw, R ;
Caflisch, R ;
Osher, S .
JOURNAL OF SCIENTIFIC COMPUTING, 2003, 19 (1-3) :183-199
[8]   Phase-field study of three-dimensional steady-state growth shapes in directional solidification [J].
Gurevich, Sebastian ;
Karma, Alain ;
Plapp, Mathis ;
Trivedi, Rohit .
PHYSICAL REVIEW E, 2010, 81 (01)
[9]   Computation of dendritic microstructures using a level set method [J].
Kim, YT ;
Goldenfeld, N ;
Dantzig, J .
PHYSICAL REVIEW E, 2000, 62 (02) :2471-2474
[10]   MODELING AND NUMERICAL SIMULATIONS OF DENDRITIC CRYSTAL-GROWTH [J].
KOBAYASHI, R .
PHYSICA D, 1993, 63 (3-4) :410-423