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作 者:李军[1,2] 武晓燕 郭锦 江海涛[1] LI Jun;WU Xiao-yan;GUO Jin;JIANG Hai-tao(National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing,University of Science and Technology Beijing,Beijing 100083,China;NIO Automotive Technology(Anhui)Co.,Ltd.,Hefei 230601,China)
机构地区:[1]北京科技大学高效轧制与智能制造国家工程研究中心,北京100083 [2]蔚来汽车科技(安徽)有限公司,安徽合肥230601
出 处:《塑性工程学报》2025年第4期160-168,共9页Journal of Plasticity Engineering
基 金:广西科技重大专项(桂科AA23023028-1)。
摘 要:为研究铝合金在热加工过程中的晶粒尺寸特征,采用热压缩实验、数学建模及有限元模型相结合的方法,研究了6016铝合金在热变形过程中的动态再结晶和微观结构演变规律,构建了热变形过程中动态再结晶及变形晶粒尺寸数学模型。结果表明,升高温度、降低应变速率有利于促进动态再结晶的发生。将建立的6016铝合金动态再结晶和变形晶粒尺寸预测模型导入有限元软件中,可有效预测热变形过程中的晶粒尺寸,与实验的平均误差分别为12.37%和4.9%。该模型可实现微观组织预报的功能,为后续热变形晶粒尺寸调控及工艺优化提供数值模型。The dynamic recrystallization(DRX)and microstructural evolution laws of 6016 aluminum alloy during hot deformation process were investigated by means of the combination methods of hot compression experiments,mathematical modeling and finite element model to study the grain size characteristics of aluminum alloy during hot working.The dynamic recrystallization and deformation grain size mathematical models during hot deformation were constructed.The results show that the occurrence of dynamic recrystallization is promoted through increasing the temperature and decreasing the strain rate.The established dynamic recrystallization and deformation grain size prediction models of 6016 aluminum alloy were imported into the finite element software,which can effectively predict grain size during hot deformation,and the average error is 12.37%and 4.9%,respectively.The model can realize the function of microstructure prediction,which provides a numerical model for grain size control and process optimization of subsequent hot deformation.
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