周璇,王克鲁,鲁世强,李鑫.基于BP神经网络和3D加工图的Ti2041合金的热变形行为研究[J].稀有金属材料与工程,2021,50(4):1233~1240.[Zhou Xuan,Wang Kelu,Lu Shiqiang,Li Xin.Study on the hot deformation behavior of Ti2041 alloy based on BP neural network and 3D processing map[J].Rare Metal Materials and Engineering,2021,50(4):1233~1240.]
基于BP神经网络和3D加工图的Ti2041合金的热变形行为研究
投稿时间:2020-05-09  修订日期:2020-06-08
中文关键词:  Ti2041合金  流动应力  本构模型  加工图  最佳工艺参数
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
中文摘要:
      通过热压缩实验研究了Ti2041合金的流动行为。利用BP神经网络建立的合金本构模型,具有较高的精度,其相关系数达到0.99613,平均相对误差为4.498%,预测值偏差在10%以内的数据点达92.98%。在实验数据的基础上,研究了应变速率敏感因子、功率耗散和失稳参数。建立了加工图,通过加工图的预测和显微组织观察,失稳区主要为局部流动(650~775℃/0.056~1s-1)和机械失稳(825~900℃/0.056~1s-1),稳定区的变形机制主要为动态再结晶。结果表明:合适的变形参数为:变形温度760~825℃/825~900℃,应变速率0.001~0.01s-1/0.0032~0.056s-1。
Study on the hot deformation behavior of Ti2041 alloy based on BP neural network and 3D processing map
英文关键词:Ti2041 alloy  Flow stress  Constitutive model  Processing maps  Optimal processing parameters
英文摘要:
      The flow behavior of Ti2041 alloy was studied through hot compressive experiments. The constitutive model of alloy established by back propagation (BP) neural network has high accuracy, which correlation coefficient reached 0.99613, the average relative error is 4.498%, the predictive value of deviation within 10% data points up to 92.98%. Based on the experimental data, the strain rate sensitivity, the power dissipation and the instability parameter were investigated. Processing maps were established. Through processing map prediction and microstructure observation, the instability zones are mainly flow localization(650~775℃/0.056~1s-1) and mechanical instability (825~900℃/0.056~1s-1), and the deformation mechanism of the stability zone is mainly dynamic recrystallization. It is found that the optimal deformation parameters are that: deformation temperature760~825℃/825~900℃, strain rate 0.001~0.01s-1 /0.0032~ 0.056s-1.
作者单位E-mail
周璇 南昌航空大学 航空制造工程学院 935593664@qq.com 
王克鲁 南昌航空大学 航空制造工程学院  
鲁世强 南昌航空大学 航空制造工程学院  
李鑫 南昌航空大学 航空制造工程学院  
摘要点击次数: 96
全文下载次数: 44
查看全文  查看/发表评论    HTML
关闭