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作 者:余晖[1,2] 于化顺[1] Young-min KIM Bong-sun YOU 闵光辉[1]
机构地区:[1]山东大学材料科学与工程学院,材料液固结构演变与加工教育部重点实验室 [2]Light Metals Group,Korea Institute of Mate rials Science,Changwon 642831,Korea
出 处:《Transactions of Nonferrous Metals Society of China》2013年第3期756-764,共9页中国有色金属学报(英文版)
基 金:supported by the R&D Program of Korea Institute of Materials Science;the World Premier Materials Program funded by The Ministry of Knowledge Economy,Korea;support from China Scholarship Council(CSC)
摘 要:The deformation behaviors of a new quaternary Mg-6Zn-1.5Cu-0.5Zr alloy at temperatures of 523-673 K and strain rates of 0.001-1 s-1 were studied by compressive tests using a Gleeble 3800 thermal-simulator.The results show that the flow stress increases as the deformation temperature decreases or as the strain rate increases.A strain-dependent constitutive equation and a feed-forward back-propagation artificial neural network were used to predict flow stress,which showed good agreement with experimental data.The processing map suggests that the domains of 643-673 K and 0.001-0.01 s-1 are corresponded to optimum conditions for hot working of the T4-treated Mg-6Zn-1.5Cu-0.5Zr alloy.在温度523~673K,应变率0.001~1s-1条件下,使用Gleeble3800热模拟机研究一种新的四元Mg-6Zn-1.5Cu-0.5Zr合金的变形行为。结果表明,流变应力随着变形温度的升高或随着应变率的下降而减小。采用依赖于应变的本构方程和前馈反向传播人工神经网络来预测流变应力,其结果与实验数据吻合很好。热加工图表明,对于经T4处理的Mg-6Zn-1.5Cu-0.5Zr合金的热加工,其最佳工作条件为温度643~673K,应变速率0.001~0.01s-1。
关 键 词:Mg alloy Cu addition flow stress deformation behavior constitutive equation artificial neural network processing map
分 类 号:TG146.22[一般工业技术—材料科学与工程]
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