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累积叠轧焊强加工制备亚微米金属材料的研究
引用本文:许荣昌,任学平,唐荻,侯红亮,王耀奇,王小红,温永红.累积叠轧焊强加工制备亚微米金属材料的研究[J].塑性工程学报,2006,13(4):86-89.
作者姓名:许荣昌  任学平  唐荻  侯红亮  王耀奇  王小红  温永红
作者单位:1. 北京科技大学高效轧制国家工程研究中心,北京,100083
2. 北京航空制造工程研究所,北京,100024
摘    要:采用ARB(累积叠轧焊)的方法在多功能强力热轧机上对普碳钢Q235,L2纯铝分别进行了强加工试验,并利用电子万能材料试验机,SEM,TEM,EBSD等手段对材料力学性能、微观组织、缺陷进行了分析。结果表明,普碳钢材料的平均抗拉强度由385MPa提高到797.5MPa,平均晶粒尺寸减小到0.7μm;L2纯铝材料的抗拉强度由75.2MPa提高到190.44MPa,平均晶粒尺寸达到0.5μm;强加工引起的位错塞积对材料起到了强化作用。

关 键 词:强加工  累积叠轧焊  亚微米金属
文章编号:1007-2012(2006)04-0086-04
收稿时间:2005-09-21
修稿时间:2005年9月21日

Study on the manufacture sub-micron metal materials by severe deformation of ARB process
XU Rong-chang,REN Xue-ping,TANG Di,HOU Hong-liang,WANG Yao-qi,WANG Xiao-hong,WEN Yong-hong.Study on the manufacture sub-micron metal materials by severe deformation of ARB process[J].Journal of Plasticity Engineering,2006,13(4):86-89.
Authors:XU Rong-chang  REN Xue-ping  TANG Di  HOU Hong-liang  WANG Yao-qi  WANG Xiao-hong  WEN Yong-hong
Affiliation:1. National Engineering Research Center for Advanced Rolling Technology University of Science and Technology of Beijing, Beijing 100083 China;2, Beijing Aeronautical Manufacturing Technology Research Institute, Beijing 100024 Chian
Abstract:Severe deformation on Q235 plain carbon steel and L2 pure aluminium by ARB process using power hot mill were investigation.The mechanical Performance,microstructure,defect of the material were studied by mechanics test machine,Scan Electron Microscope,Transmission Electron Microscope and Electron Back Scattering Diffraction.The experiment results indicate that ultrafine grains and higher intensity material can obtain by ARB severe deformation process on plain hot rolling mill.The strength of plain carbon steel were increased from 385MPa to 797.5MPa,the average grain size is 0.7μm.The strength of L2 pure aluminium were increased to 190.44MPa from 75.2MPa,the average grain size is reduced to 0.5μm.The severe deformation induce piling-up dislocation which can strengthen the material.
Keywords:severe deformation  ARB process  sub-micron metal materialsoft computing  fuzzy theory  artificial neural networks  genetic algorithm  metal forming
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