金属学报  2012, Vol. 48 Issue (9): 1123-1131    DOI: 10.3724/SP.J.1037.2012.00107

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Mg-Zn-Zr-Ce合金高温变形行为与热加工性能研究

余晖1, 2), KIM Youngmin2), 于化顺1), YOU Bongsun2), 闵光辉1)

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, 济南 250061 2) 韩国材料科学研究院轻金属研究组, 昌原 642831

HOT DEFMATION BEHAVIOR AND HOT WORKABILITY OF Mg-Zn-Zr-Ce ALLOY

YU Hui1, 2),  KIM Youngmin2), YU Huashun1), YOU Bongsun2),  MIN Guanghui1)

1) Key Laboratory for Liquid--Solid Evolution and Processing of Materials of Ministry of Education, School of Materials Science and Engineering, Shandong University, Jinan 250061 2) ALMG research group, Light metal division, Korea Institute of Materials Science, Changwon 642831, Republic of Korea

余晖 KIM Youngmin 于化顺 YOU Bongsun 闵光辉. Mg-Zn-Zr-Ce合金高温变形行为与热加工性能研究[J]. 金属学报, 2012, 48(9): 1123-1131.
, , , , . HOT DEFMATION BEHAVIOR AND HOT WORKABILITY OF Mg-Zn-Zr-Ce ALLOY[J]. Acta Metall Sin, 2012, 48(9): 1123-1131.

摘要 参考文献 相关文章 Metrics 全文: PDF(3331 KB)   摘要: 采用Gleeble 3800热模拟机对Mg-6Zn-0.5Zr-0.5Ce镁合金进行了高温压缩变形实验, 分析了该合金在变形温度为523-673 K, 应变速率为0.001-1.0 s-1条件下的流变应力变化规律. 结果表明, 变形温度和应变速率对流变应力具有显著影响, 流变应力随变形温度的升高和应变速率的降低而减小; 在较高变形温度和较小变形速率下, 流变应力随真应变的增加至峰值后即呈稳态流变特征. 采用双曲正弦函数拟合曲线, 确定了该合金的变形表观激活能为145.76 kJ/mol; 建立了可用于描述该镁合金的流变应力的单隐层前馈误差反向传播人工神经网络模型. 利用动态材料模型构建了热加工图, 结合组织观察认为, 该合金在648-673 K, 应变速率为0.1-1.0 s-1条件下发生动态再结晶; 而同样应变速率下, 温度低于573 K时材料在变形过程中由于机械孪生导致开裂. 由交滑移所产生的机械回复位错控制着界面的形成, 且动态再结晶模型表明该合金再结晶主要受界面迁移所控制. 关键词 ： 镁合金,  本构关系,  流变应力,  神经网络,  动态再结晶,  热加工图     Abstract：The hot deformation behavior of the T4-treated Mg-6Zn-0.5Zr-0.5Ce alloy was investigated by compressive test using Gleeble 3800 thermal--simulator in the temperature range of 523-673 Kand strain rate range of 0.001-1.0 s-1. The results show that the flow stress is significantly affected by both deformation temperature and strain rate. The flow stress increases with either decreasing deformation temperature or increasing strain rate. The flow stress value tends to be constant after a peak value appearing at high deformation temperature and low strain rate. In the present work, the average activation energy for the hot deformation has been determinded to be 145.76 kJ/mol using the hyperbolic sine constitutive equation. A feed-forward back-propagation artificial neural network (ANN) has been established and used to investigate the flow behaviors of the alloy. The predicted data by the ANN is in good agreement with the experimental ones. Combing microstructure observation, the processing map for this alloy established on the basis of a dynamic material model indicates that the dynamic recrystallization (DRX) would take place in the range of 648-673 K and 0.1-1.0 s-1, while under the same strain rate the flow instability would occur due to mechanical twinning when the temperature below 573 K. The formation of interfaces depends on the process of mechanical recovery caused by cross-slip of screw dislocations. The DRX model indicates that DRX of this alloy is controlled by interface migration. Key words： Mg-based alloy    constitutive equation    flow stress    artificial neural network    dynamic recrystallization    processing map 收稿日期: 2012-02-28      ZTFLH:  TG146.22   基金资助: 国家留学基金资助项目2010622106和韩国知识经济部资助项目PMI7300资助 作者简介: 余晖, 男, 1984年生, 博士生 服务 把本文推荐给朋友 加入引用管理器 E-mail Alert RSS 作者相关文章 余晖 KIM Young-Min 于化顺 YOU Bong Sun 闵光辉 44.8K 链接本文: https://www.ams.org.cn/CN/10.3724/SP.J.1037.2012.00107      或      https://www.ams.org.cn/CN/Y2012/V48/I9/1123 [1] Luo A A, Mishra R K, Sachdev A K. Scr Mater, 2011; 64: 410 [2] Yu K, LiWX, Zhao J,Ma Z Q, Wang R. Scr Mater, 2003; 48: 1319 [3] Qin Y J, Pan Q L, He Y B, LiWB, Liu X Y, Fan X. Acta Metall Sin, 2009; 45: 887 (覃银江, 潘清林, 何运斌, 李文斌, 刘晓艳, 范曦. 金属学报, 2009; 45: 887) [4] Wang Z X, Liu X F, Xie J X. Acta Metall Sin, 2008; 44: 1378 (王智祥, 刘雪峰, 谢建新. 金属学报, 2008; 44: 1378) [5] Tang W N, Chen R S, Han E H. 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