Study on the Recrystallization of Deformation Microstructure of AZ31 Magnesium Alloy

Abstract:

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A real-time calculation model discretized by the cellular automata (CA) method was developed for the numerical simulation of AZ31 magnesium alloy microstructure evolution during recrystallization (RX). The RX processes under different strains were simulated, also, variations in morphologies of recrystallization grains are discussed. The results of numerical simulation were compared with those of experiment analysis, and the microstructure obtained by CA was found to well agree with the actual pattern obtained by EBSD (Electron Backscattered Diffraction) analysis. The numerical simulation technique provides a flexible way of predicting the recrystallization of deformation microstructure evolution.

Info:

Periodical:

Solid State Phenomena (Volume 263)

Edited by:

Prof. Haider F. Abdul Amir

Pages:

55-58

DOI:

10.4028/www.scientific.net/SSP.263.55

Citation:

Y. P. Lou et al., "Study on the Recrystallization of Deformation Microstructure of AZ31 Magnesium Alloy", Solid State Phenomena, Vol. 263, pp. 55-58, 2017

Online since:

September 2017

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$35.00

* - Corresponding Author

[1] R. Ding and Z.X. Guo, Coupled quantitative simulation of microstructural evolution and plastic flow during dynamic recrystallization, Acta Materialia 49 (16) (2001), p.3163−3175.

DOI: 10.1016/s1359-6454(01)00233-6

[2] X.H. Deng, L.W. Zhang and C.X. Yue, Influence of hot working parameters on dynamic recrystallisation of GCr15 bearing steel, Materials Research Innovations 13 (2009), p.436.

DOI: 10.1179/143289109x12494867167323

[3] F. Chen, Z.S. Cui, J. Liu, X.X. Zhang and W. Chen, Modeling and simulation on dynamic recrystallization of 30Cr2Ni4MoV rotor steel using the cellular automaton method, Modelling Simul. Mater. Sci. Eng 17 (2009) p.075015.

DOI: 10.1088/0965-0393/17/7/075015

[4] F. Chen and Z.S. Cui, Mesoscale simulation of microstructure evolution during multi-stage hot forging processes, Modelling Simul. Mater. Sci. Eng 20 (2012), pp.45008-45023(16).

DOI: 10.1088/0965-0393/20/4/045008

[5] N.M. Xiao, C.W. Zheng, D.Z. Li and Y.Y. Li, A simulation of dynamic recrystallization by coupling a cellular automaton method with a topology deformation technique, Computational Materials Science 41 (2008), pp.366-374.

DOI: 10.1016/j.commatsci.2007.04.021

[6] S.Q. Huang, Y.P. Yi and C. Liu, Simulation of dynamic recrystallization for aluminium alloy 7050 using cellular automaton, J. Cent. South Univ. Technol 16 (2009), pp.0018-0024.

DOI: 10.1007/s11771-009-0003-9

[7] H. Mecking and U.F. Kocks, Kinetics of flow and strain-hardening, Acta Metall 29 (1981), p.1865–1875.

DOI: 10.1016/0001-6160(81)90112-7

[8] A. Manonukul and F.P.E. Dunne, Initiation of dynamic recrystallization under inhomogeneous stress states in pure copper, Acta Mater 47 (1999), p.4339–4354.

DOI: 10.1016/s1359-6454(99)00313-4

[9] M. Kumar, R. Sasikumar and P.K. Nair, Competition between nucleation and early growth of ferrite from austenite-studies using cellular automaton simulations, Acta Mater 46 (1998), p.6291–6303.

DOI: 10.1016/s1359-6454(98)00243-2

[10] L.J. Hu, Y.H. Peng, D.Y. Li and S.R. Zhang, Influence of dynamic recrystallization on tensile properties of AZ31B magnesium alloy sheet, Mater Manuf Process 25 (8) (2010), pp.880-887.

DOI: 10.1080/10426910903496805

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