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作 者:Chang-Sheng Wang Hua-Dong Fu Jian-Xin Xie
机构地区:[1]Beijing Advanced Innovation Center for Materials Genome Engineering,Institute for Advanced Materials and Technology,University of Science and Technology Beijing,Beijing 100083,China [2]Beijing Laboratory of Metallic Materials and Processing for Modern Transportation,Institute for Advanced Materials and Technology,Beijing 100083,China
出 处:《Rare Metals》2021年第1期156-167,共12页稀有金属(英文版)
基 金:financially supported by the National Key Research and Development Program of China(No.2016YFB0301300);the National Natural Science Foundation of China(Nos.51974028 and U1602271)。
摘 要:By means of isothermal compression at temperatures in the range of 650-900℃and strain rates in the range of 0.001-1 s^(-1),the dynamic recrystallization behavior and microstructural evolution of a Cu-3.28 Ni-0.6 Si-0.22 Zn-0.11 Cr-0.04 P(wt%)alloy designed by a machine learning method were investigated.A semiempirical constitutive equation,processing maps and an average activation energy were generated.The microstructure under different conditions and the effect of strain rate on the texture of the alloy at 800-900℃were observed.The results show that the suitable temperature is800-900℃;when the strain is less than 0.4,the appropriate strain rate is 0.01-0.5 s^(-1);and when the strain is greater than 0.4,the appropriate strain rate is below0.05 s^(-1).After deformation at 800℃,the main texture changed from{112}<111>of copper to a uniform distribution with the increase in strain rate,but the sample did not have obvious texture after deformation at 850 and900℃.The above results can provide a reference for the selection of process parameters.
关 键 词:High-performance copper alloy Hot compression Dynamic recrystallization Processing map Texture evolution
分 类 号:TG146.11[一般工业技术—材料科学与工程]
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