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| Characterization and Simulation of Strain-hardening Behavior of a Cold-rolled Dual Phase Steel of 780 MPa Grade by Means of Modified C-J Method and RVE Model |
| Yanhua WANG, Xingmin HUANG, Lei ZHANG, Yuanbo GUO, Longsheng CHU, Guangze DAI |
1 School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China. 2 Key Laboratory of Advanced Technologies of Materials, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China. |
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Cite this article:
Yanhua WANG, Xingmin HUANG, Lei ZHANG, Yuanbo GUO, Longsheng CHU, Guangze DAI. Characterization and Simulation of Strain-hardening Behavior of a Cold-rolled Dual Phase Steel of 780 MPa Grade by Means of Modified C-J Method and RVE Model. Chinese Journal of Materials Research, 2017, 31(11): 801-808.
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Abstract The strain-hardening behavior of a cold-rolled dual phase steel of 780MPa grade after different heat treatments was analyzed by a modified Crussard-Jaoul ( C-J ) method, and the deformation behavior of which was simulated with representative volume element (RVE) model. The results show that dual phase steels of different states all exhibit higher initial strain-hardening rate. The steel containing island- and needle-like martensite showed two-stage strain-hardening characteristics which related to the plastic deformation of ferrite and coordination plastic deformation of ferrite and martensite respectively, while the steel containing coarse block-like martensite exhibited three-stage strain-hardening characteristics and of which, the strain hardening capacity of the third stage decreases significantly due to the plastic deformation. The finite element method (FEM) simulation result showed that the strain concentration of the dual phase steel containing coarse block- and needle-like martensite mainly distributed in the interface of ferrite and martensite, while that containing island-like martensite distributed in junctions of martensite grains.
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Received: 20 December 2016
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| Fund: Supported by Science and Technology Support Program of Sichuan Province |
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