白倩

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

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A new application of unified constitutive equations for cross wedge rolling of a high-speed railway axle steel

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论文类型:期刊论文

发表时间:2015-09-01

发表刊物:JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

收录刊物:SCIE、EI、Scopus

卷号:223

页面范围:274-283

ISSN号:0924-0136

关键字:Materials modelling; Microstructure evolution; Cross wedge rolling; Unified constitutive equations; High-speed railway axle steel; Experimental validation

摘要:The mechanical properties of 25CrMo4 steel for high-speed railway axles depend on its microstructural evolution during hot cross wedge rolling (CWR). In this paper a set of mechanism-based unified constitutive equations has been determined for the prediction of elastic-viscoplastic material behaviour and microstructural evolution of the 25CrMo4 steel during hot CWR processes. Hot compression tests were conducted using a Gleeble thermo-mechanical simulator at temperatures in a range of 1223-1433 K and at strain rates in a range of 1.0-10.0/s. A set of equations was determined from experimental data of static grain growth, grain refinement and viscoplastic flow using a genetic algorithm (GA) method. Good agreements between the experimental and predicted data were obtained. The determined constitutive equations were implemented into the commercial FE code, DEFORM-3D, via a user defined subroutine and CWR processes were modelled. CWR tests were also carried out and microstructure examinations were conducted. FE simulation results, such as grain size, were compared with those of CWRed parts. Good agreements have been obtained, which shows that the determined constitutive model enables microstructure evolution in CWR processes to be well predicted. (C) 2015 Elsevier B.V. All rights reserved.