摘要
TA1薄壁圆管钉套因其优异的力学性能在航空航天领域广泛应用。钉套在轴向方向呈梯度硬度分布,常规的本构模型无法准确预测其力学行为。本工作旨在构建一种基于硬度的TA1 Johnon-Cook(J-C)改进本构模型和人工神经网络(ANN)本构模型,以支持薄壁圆管钉套的数值模拟。对不同硬度的TA1进行了准静态和动态压缩试验,研究了硬度和应变率对TA1力学性能的影响。在试验基础上构建了基于硬度的改进J-C本构模型和ANN本构模型,并对两种模型进行了准确性分析。通过VUMAT和VUHARD用户子程序将两种本构模型分别嵌入ABAQUS中,实现了薄壁圆管钉套压缩的数值模拟。结果表明,两种本构模型均有较好的预测精度。改进J-C本构模型均方根误差为38.54 MPa,平均绝对误差为4.07%;ANN本构模型均方根误差为2.78 MPa,平均绝对误差为0.37%。在数值模拟方面,ANN本构模型的模拟结果与试验结果保持了更好的一致性,模拟与试验的相对误差保持在5%以内,能更准确地描述薄壁圆管钉套压缩过程中的力学行为。
TA1 thin-walled round tube nail sleeve are widely used in aerospacefield due to their excellent mechanical properties.The nail sleeve has a gradient hardness distribution in the axial direction,so the conventional constitutive models cannot accurately predict its mechanical behavior.For this propose,a hardness-based TA1 Johnson-Cook(J-C)improved constitutive model and an artificial neural network(ANN)constitutive model was constructed to support the numerical simulation of thin-walled round tube nail sleeve.The quasi-static and dynamic compression tests of TA1 with different hardness were carried out to study the effects of hardness and strain rate on the mechanical properties of TA1.The improved J-C constitutive model and ANN constitutive model based on hardness were constructed on the basis of experiments,and the accuracy of the two models was analyzed.The numerical simulation of nail sleeve compression of thin-walled round tubes was achieved by embedding the two principal models into ABAQUS through the VUMAT and VUHARD user subroutines,respectively.The results show that both constitutive models have good prediction accuracy.The root-mean-square error of the improved J-C constitutive model is 38.54 MPa,and the average absolute error is 4.07%.While the root-mean-square error of the ANN constitutive model is 2.78 MPa,and the average absolute error is 0.37%.In terms of numerical simulation,the simulation results of the ANN constitutive model maintain a better consistency with the test results,and the relative error between simulation and test keeps within 5%,which can more accurately describe the mechanical behavior of the thin-walled round tube nail sleeve during compression.
作者
马骏杰
冯治国
康分行
刘勇
MA Junjie;FENG Zhiguo;KANG Fenhang;LIU Yong(College of Mechanical Engineering,Guizhou University,Guiyang 550025,China;Guizhou Key Laboratory of Special Equipment and Manufacturing Technology,Guizhou University,Guiyang 550025,China)
出处
《材料导报》
北大核心
2025年第23期203-210,共8页
Materials Reports
基金
国家自然科学基金(52165042)
贵州省优秀青年人才项目(黔科合平台人才[2021]5617号)
贵阳市科技人才培养项目(筑科合同[2021]43-1号)
贵州省科技计划项目(黔科合支撑[2023]一般308)
贵大人基合字(2022)09号。
关键词
TA1钛合金
薄壁圆管钉套
本构模型
神经网络
数值模拟
TA1 titanium alloy
thin-walled round tube nail sleeve
constitutive model
neural network
numerical simulation
