个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:女
毕业院校:伦敦帝国理工学院
学位:博士
所在单位:机械工程学院
学科:机械制造及其自动化. 材料加工工程
办公地点:知方楼5007
联系方式:13842856182
电子邮箱:baiqian@dlut.edu.cn
Prediction of microstructure and ductile damage of a high-speed railway axle steel during cross wedge rolling
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论文类型:期刊论文
发表时间:2017-01-01
发表刊物:JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
收录刊物:SCIE、EI
卷号:239
页面范围:359-369
ISSN号:0924-0136
关键字:Unified constitutive modeling; Microstructure evolution; Ductile damage; Cross wedge rolling; High-speed railway axle steel; Experimental validation
摘要:Microstructure and ductile damage have a significant influence on the deformation behavior of highspeed railway axles during hot cross wedge rolling (CWR) and its final performance. In this study, based on the continuum damage mechanics, a multiaxial constitutive model coupling microstructure and ductile damage was established to predict the evolution of microstructure and ductile damage of 25CrMo4 during hot CWR processes. Material constants within the multiaxial constitutive model were determined by Genetic Algorithm (GA) optimization techniques from thermo-mechanical test data. The derived multiaxial constitutive model was embedded into the DEFORM-3D software through a user subroutine. FE simulation of CWR was performed to predict the microstructure evolution and ductile damage. CWR experiments were also carried out to validate the proposed model. The predicted grain size and ductile damage agree well with the experimental results. Good agreements indicate that the derived multiaxial constitutive model is reliable and can be used to predict the evolution of microstructure and ductile damage during CWR process. (C) 2016 Elsevier B.V. All rights reserved.