Simulation of recrystallization based on EBSD data using a modified Monte Carlo model that considers anisotropic effects in cold-rolled ultra-thin grain-oriented silicon steel

Li Meng; Jun-ming Liu; Ning Zhang; Hao Wang; Yu Han; Cheng-xu He; Fu-yao Yang; Xin Chen

doi:10.1007/s12613-020-2102-4

Volume 27 Issue 9

Sep. 2020

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 2020 > 27(9): 1251-1258

Li Meng, Jun-ming Liu, Ning Zhang, Hao Wang, Yu Han, Cheng-xu He, Fu-yao Yang, and Xin Chen, Simulation of recrystallization based on EBSD data using a modified Monte Carlo model that considers anisotropic effects in cold-rolled ultra-thin grain-oriented silicon steel, Int. J. Miner. Metall. Mater., 27(2020), No. 9, pp. 1251-1258. https://doi.org/10.1007/s12613-020-2102-4

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Li Meng, Jun-ming Liu, Ning Zhang, Hao Wang, Yu Han, Cheng-xu He, Fu-yao Yang, and Xin Chen, Simulation of recrystallization based on EBSD data using a modified Monte Carlo model that considers anisotropic effects in cold-rolled ultra-thin grain-oriented silicon steel, Int. J. Miner. Metall. Mater., 27(2020), No. 9, pp. 1251-1258. https://doi.org/10.1007/s12613-020-2102-4

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Research Article

Simulation of recrystallization based on EBSD data using a modified Monte Carlo model that considers anisotropic effects in cold-rolled ultra-thin grain-oriented silicon steel

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Corresponding authors:
Li Meng E-mail: li_meng@126.com

Ning Zhang E-mail: zhangn@126.com
Received: 5 September 2019; Revised: 18 May 2020; Accepted: 18 May 2020; Available online: 21 May 2020

Abstract

Abstract

A Monte Carlo Potts model was developed to simulate the recrystallization process of a cold-rolled ultra-thin grain-oriented silicon steel. The orientation and image quality data from electron backscatter diffraction measurements were used as input information for simulation. Three types of nucleation mechanisms, namely, random nucleation, high-stored-energy site nucleation (HSEN), and high-angle boundary nucleation (HABN), were considered for simulation. In particular, the nucleation and growth behaviors of Goss-oriented ({011}<100>) grains were investigated. Results showed that Goss grains had a nucleation advantage in HSEN and HABN. The amount of Goss grains was the highest according to HABN, and it matched the experimental measurement. However, Goss grains lacked a size advantage across all mechanisms during the recrystallization process.
- ultra-thin grain-oriented silicon steel;
- Monte Carlo simulation;
- recrystallization;
- nucleation;
- grain growth;
- Goss grain

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[1]	S. Mishra, C. Därmann, and K. Lücke, On the development of the goss texture in iron-3% silicon, Acta Metall., 32(1984), No. 12, p. 2185. doi: 10.1016/0001-6160(84)90161-5
[2]	K.I. Arai and K. Ishiyama, Rolled texture and magnetic properties of 3% silicon steel, J. Appl. Phys., 64(1988), No. 10, p. 5352. doi: 10.1063/1.342369
[3]	T. Kubota, Recent progress on non-oriented silicon steel, Steel Res. Int., 76(2005), No. 6, p. 464. doi: 10.1002/srin.200506040
[4]	X.H. Gao, K.M. Qi, and C.L. Qiu, Magnetic properties of grain oriented ultra-thin silicon steel sheets processed by conventional rolling and cross shear rolling, Mater. Sci. Eng. A, 430(2006), No. 1-2, p. 138. doi: 10.1016/j.msea.2006.05.058
[5]	H.Y. Song, H.T. Liu, Y.P. Wang, and G.D. Wang, Microstructure and texture evolution of ultra-thin grain-oriented silicon steel sheet fabricated using strip casting and three-stage cold rolling method, J. Magn. Magn. Mater., 426(2017), p. 32. doi: 10.1016/j.jmmm.2016.11.038
[6]	D. Dorner, S. Zaefferer, and D. Raabe, Retention of the Goss orientation between microbands during cold rolling of an Fe−3% Si single crystal, Acta Mater., 55(2007), No. 7, p. 2519. doi: 10.1016/j.actamat.2006.11.048
[7]	J.T. Park and J.A. Szpunar, Evolution of recrystallization texture in nonoriented electrical steel, Acta Mater., 51(2003), No. 11, p. 3037. doi: 10.1016/S1359-6454(03)00115-0
[8]	F.J. Humphreys and M. Hatherly, Recrystallization and Related Annealing Phenomena, 2nd ed., Elsevier, Oxford, Netherlands, 2004.
[9]	D.J. Srolovitz, G.S. Grest, and M.P. Anderson, Computer simulation of recrystallization-I. Homogeneous nucleation and growth, Acta Metall., 34(1986), No. 9, p. 1833. doi: 10.1016/0001-6160(86)90128-8
[10]	Y. Liu, T. Baudin, and R. Penelle, Simulation of normal grain growth by cellular automata, Scripta Mater., 34(1996), No. 11, p. 1679. doi: 10.1016/1359-6462(96)00055-3
[11]	C.E. Krill Iii and L.Q. Chen, Computer simulation of 3-D grain growth using a phase-field model, Acta Mater., 50(2002), No. 12, p. 3059. doi: 10.1016/S1359-6454(02)00084-8
[12]	D. Raabe and R.C. Becker, Coupling of a crystal plasticity finite-element model with a probabilistic cellular automaton for simulating primary static recrystallization in aluminium, Modell. Simul. Mater. Sci. Eng., 8(2000), No. 4, p. 445. doi: 10.1088/0965-0393/8/4/304
[13]	D.N. Fan and L.Q. Chen, Diffusion-controlled grain growth in two-phase solids, Acta Mater., 45(1997), No. 8, p. 3297. doi: 10.1016/S1359-6454(97)00022-0
[14]	D.Q. Xin, C.X. He, X.H. Gong, H. Wang, L. Meng, G. Ma, P.F. Hou, and W.K. Zhang, Monte Carlo study on abnormal growth of Goss grains in Fe–3%Si steel induced by second-phase particles, Inter. J. Miner. Metall. Mater., 23(2016), No. 12, p. 1397. doi: 10.1007/s12613-016-1363-4
[15]	Y.B. Chun, S.L. Semiatin, and S.K. Hwang, Monte Carlo modeling of microstructure evolution during the static recrystallization of cold-rolled, commercial-purity titanium, Acta Mater., 54(2006), No. 14, p. 3673. doi: 10.1016/j.actamat.2006.03.055
[16]	D.E. Solas, C.N. Tomé, O. Engler, and H.R. Wenk, Deformation and recrystallization of hexagonal metals: Modeling and experimental results for zinc, Acta Mater., 49(2001), No. 18, p. 3791. doi: 10.1016/S1359-6454(01)00261-0
[17]	R.D. Doherty, D.A. Hughes, F.J. Humphreys, J.J. Jonas, D.J. Jensen, M.E. Kassner, W.E. King, T.R. McNelley, H.J. McQueen, and A.D. Rollett, Current issues in recrystallization: A review, Mater. Sci. Eng. A, 238(1997), No. 2, p. 219. doi: 10.1016/S0921-5093(97)00424-3
[18]	J.Y. Kang, B. Bacroix, H. Réglé, K.H. Oh, and H.C. Lee, Effect of deformation mode and grain orientation on misorientation development in a body-centered cubic steel, Acta Mater., 55(2007), No. 15, p. 4935. doi: 10.1016/j.actamat.2007.05.014
[19]	N. Rajmohan, Y. Hayakawa, J.A. Szpunar, and J.H. Root, Neutron diffraction method for stored energy measurement in interstitial free steel, Acta Mater., 45(1997), No. 6, p. 2485. doi: 10.1016/S1359-6454(96)00371-0
[20]	D.J. Srolovitz, G.S. Grest, M.P. Anderson, and A.D. Rollett, Computer simulation of recrystallization-II. Heterogeneous nucleation and growth, Acta Metall., 36(1988), No. 8, p. 2115. doi: 10.1016/0001-6160(88)90313-6
[21]	F.J. Humphreys, Nucleation in recrystallization, Mater. Sci. Forum, 467-470(2004), No. 1, p. 107.
[22]	W.T. Read and W. Shockley, Dislocation models of crystal grain boundary, Phys. Rev., 78(1950), No. 3, p. 275. doi: 10.1103/PhysRev.78.275
[23]	P.A. Beck and P.R. Sperry, Strain induced grain boundary migration in high purity aluminum, J. Appl. Phys., 21(1950), No. 2, p. 150. doi: 10.1063/1.1699614
[24]	F. Lin, A. Godfrey, M.A. Miodownik, and Q. Liu, Monte Carlo modeling of cube texture evolution in Ni-tapes during grain growth, Mater. Sci. Forum, 467-470(2004), p. 1075. doi: 10.4028/www.scientific.net/MSF.467-470.1075
[25]	A.D. Rollett, D.J. Srolovitz, R.D. Doherty, and M.P. Anderson, Computer simulation of recrystallization in non-uniformly deformed metals, Acta Metall., 37(1989), No. 2, p. 627. doi: 10.1016/0001-6160(89)90247-2