基于机器学习的Ti-5Al-1.5Mo-1.8Fe低成本钛合金热加工图预测  

Prediction of processing map based on machine learning for low-cost Ti-5Al-1.5Mo-1.8Fe titanium alloy

作　　者：牟义强 张洺川 乔泽 王枫 覃美玲 徐勤思 MU Yiqiang;ZHANG Mingchuan;QIAO Ze;WANG Feng;QIN Meiling;XU Qinsi(Civil Aviation College,Shenyang Aerospace University,Shenyang 110136,Liaoning,China;Panzhihua Wuyue Technology Company Limited,Panzhihua 617000,Sichuan,China)

机构地区：[1]沈阳航空航天大学民用航空学院,辽宁沈阳110136 [2]攀枝花市午跃科技有限公司,四川攀枝花617000

出　　处：《沈阳工业大学学报》2024年第3期291-297,共7页Journal of Shenyang University of Technology

基　　金：国家自然科学基金项目(51871220);辽宁省自然科学基金计划项目(LACT-007)。

摘　　要：为了研究Ti-5Al-1.5Mo-1.8Fe低成本钛合金的热变形行为,运用Instron 5869压缩实验机进行热压缩实验。构建了以变形温度、应变速率、应变为输入变量和流变应力为输出变量的6种机器学习模型,预测不同条件下该合金的流变应力值并评估检验模型的预测性能。根据预测表现最好的LSTM神经网络模型的预测数据绘制预测加工图,对照实验加工图评估检验其预测能力。结果表明:预测加工图能够较为准确地反映出Ti-5Al-1.5Mo-1.8Fe合金在应变为0.499时的可加工区域,与实验加工图的吻合程度较高,该方法能较好地预测Ti-5Al-1.5Mo-1.8Fe合金的热变形行为。In order to study the thermal deformation behavior of low-cost titanium alloy,a Ti-5Al-1.5Mo-1.8Fe alloy was compressed for hot compression experiment by using Instron 5869 thermal compressor.Six machine learning models taking deformation temperature,strain rate and the degree of strain as input variables and adopting flow stresses as output variables were established.The flow stress values of alloy under different conditions were predicted and the prediction performance of these models were evaluated.The predicted processing map was drawn according to the prediction data of LSTM neural network model with the best prediction performance,and the predictive ability of the model was evaluated and verified by its comparison with experimental processing map.The results show that the processable regions of Ti-5Al-1.5Mo-1.8Fe alloy with the strain of 0.499 can be accurately reflected by the predicted processing map,in good accordance with the experimental map.The as-proposed method has better prediction for the thermal deformation behavior of Ti-5Al-1.5Mo-1.8Fe alloy.

关 键 词：低成本钛合金 Ti-5Al-1.5Mo-1.8Fe合金 热变形行为 热压缩实验 流变应力 机器学习模型 LSTM神经网络模型 加工图 

分 类 号：TG319[金属学及工艺—金属压力加工] TG146.2[一般工业技术—材料科学与工程]