摘要
Al-Mg-Si铝合金在T6热处理后的晶粒尺寸会直接影响其服役性能。为了建立6082铝合金在固溶时效处理后的晶粒尺寸与变形条件、热处理制度相关的预测模型,对不同变形条件和不同热处理条件下晶粒尺寸的演化规律进行了研究,并针对热变形和热处理后的金相组织进行了表征。研究结果表明:在统一的热处理制度下,随着试样变形后GND、GROD值的增加,热处理后的晶粒尺寸相应增大;在不同的热处理制度下,随着固溶温度、固溶时间的增加,试样热处理后的晶粒尺寸明显增大。采用多隐含层的BP神经网络建立了6082铝合金热处理后的晶粒尺寸的预测模型,模型的预测精度达到95%。
The grain size of Al-Mg-Si aluminum alloy after T6 heat treatment directly affects its service properties.In order to establish the prediction model for the grain size of 6082 aluminum alloy after solution and aging treatment related with deformation condition and heat treatment system,the evolution laws of the grain size under different deformation conditions and different heat treatment conditions were studied,and the metallographic structure after thermal deformation and heat treatment was characterized.The research results show that under the unified heat treatment system,the grain size after heat treatment increases with the increaseing of GND and GROD values of sample after deformation,and under different heat treatment systems,with the increaseing of solution temperature and solution time,the grain size of sample after heat treatment increases obviously.A prediction model for the grain size of 6082 aluminum alloy after heat treatment was established by using BP neural network with multiple hidden layers,and the prediction accuracy of the model reaches 95%.
作者
张浩
王国文
曾凡宜
田壵
邓磊
王新云
唐学峰
金俊松
Zhang Hao;Wang Guowen;Zeng Fanyi;Tian Zhuang;Deng Lei;Wang Xinyun;Tang Xuefeng;Jin Junsong(State Key Laboratory of Material Processing and Die and Mould Technology,Huazhong University of Science and Technology,Wuhan 430074,China;Hubei Tri-ring Forging Co.,Ltd.,Xiangyang 441700,China)
出处
《锻压技术》
CAS
CSCD
北大核心
2023年第3期227-235,共9页
Forging & Stamping Technology
基金
国家自然科学基金资助项目(52090043)
湖北省重点研发计划(2020BAB040)。
