摘要
采用Gleeble-3500型热模拟试验机对Ti-25Nb合金进行等温恒应变速率压缩试验,研究合金在470~620℃,0.001~10s-1条件下的流动应力行为,并基于BP神经网络建立合金的本构模型。结果表明,Ti-25Nb合金的真应力具有负温度、正应变速率敏感性,合金在试验变形条件下均呈现流动软化型特征。基于BP神经网络所建立的本构模型计算精度较高,其相关系数为0.9996,相对误差为4.27%,平均绝对相对误差为1.33%,能够较好地描述并预测Ti-25Nb合金的流动应力行为。
The isothermal constant strain rate compression test was carried out by a Gleeble-3500 thermal simulation tester.The flow stress behavior of Ti-25Nb alloy at 470~620℃and 0.001~10 s-1 was investigated and constitutive model was established based on BP neural network.The results reveal that the true stress of Ti-25Nb alloy has negative temperature and positive strain rate sensibility,showing the characteristics of flow softening under any deformation condition.The constitutive model based on BP neural network has a high calculation accuracy with correlation coefficient of 0.9996,relative error of 4.27%and average absolute relative error of 1.33%,which can well describe and predict the flow stress behavior of Ti-25Nb alloy.
作者
欧阳旭
王克鲁
吴俊慷
彭辉权
Ouyang Xu;Wang Kexu;Wu Junkang;Peng Huiquan(School of Aeronautical Manufacturing Engineering,Nanchang Hangkong University)
出处
《特种铸造及有色合金》
CAS
北大核心
2021年第4期425-428,共4页
Special Casting & Nonferrous Alloys
基金
国家自然科学基金资助项目(51464035)
