锻压技术

AerMet100超高强钢热变形行为及3种流变应力模型对比

英文标题：Hot deformation behavior and comparison of three rheological stress models on AerMet100 ultra-high strength steel

单位：1. 华中科技大学材料科学与工程学院材料成形与模具技术全国重点实验室 2. 南昌航空大学航空制造工程学院 3. 中国第二重型机械集团德阳万航模锻有限责任公司

分类号：TG115.53

出版年,卷(期):页码：2024,49(10):209-220

摘要：

对AerMet100超高强钢试样进行了变形温度为1173~1473 K、应变速率为0.01~10 s-1、变形量为60%的热压缩实验。结果表明：随着应变的增加，AerMet100超高强钢试样的真应力先迅速增大，然后增长速率减小，直至趋于动态平稳。在实验的变形条件内，真应力-真应变曲线呈现出动态回复型与动态再结晶型这2种曲线形式。基于实验结果，分别构建了应变补偿型Arrhenius本构模型、优化型Johnson-Cook模型和BP神经网络模型，分析对比了3种模型对AerMet100超高强钢高温变形行为的预测精度，得到3种模型的线性相关系数R分别为0.99461、0.98694和0.99998；平均相对误差绝对值AARE分别为3.029%、5.220%和0.129%。其中，BP神经网络模型预测的流变应力线性相关强度最高，模型预测精度最高。

The hot compression tests of AerMet100 ultra-high strength steel samples were carried out at the deformation temperature of 1173-1473 K, the strain rate of 0.01-10 s-1 and the deformation amount of 60%. The results show that with the increasing of strain, the true stress of AerMet100 ultra-high strength steel samples first rapidly increases, and then the growth rate decreases until it tends to be dynamically stable. Under the deformation conditions of the test, the true stress-true strain curve exhibits two kinds of curve types wit dynamic recovery type and dynamic recrystallization type. Based on the test results, the strain-compensated Arrhenius constitutive model, the optimized Johnson-Cook model and the BP neural network model are constructed respectively, and the prediction accuracy of the three models on the high temperature deformation behavior of AerMet100 ultra-high strength steel were analyzed and compared. The linear correlation coefficients R of the three models are 0.99461, 0.98694 and 0.99998, respectively, and the average relative error absolute values AARE are 3.029%, 5.220% and 0.129%, respectively. Among them, the BP neural network model predicts the highest linear correlation strength of rheological stress and the highest prediction accuracy.

基金项目：

国家重点研发计划(2022YFB3706901，2022YFB3706903)

作者简介：刘可卓（2000-），男，硕士研究生,E-mail：kzliu2022@hust.edu.cn;通信作者：黄亮（1981-），男，博士，教授,E-mail：huangliang@hust.edu.cn

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