Modified Constitutive Model and Ductile Fracture Criterion for 5A06 Al-Alloy Sheets at Elevated Temperatures

被引：0
|
作者：
Liu K. [1 ,2 ]
Lang L. [2 ]
Xu Q. [3 ]
机构：
[1] Beijing Institute of Space Launch Technology, Beijing
[2] School of Mechanical Engineering and Automation, Beihang University, Beijing
[3] Aerospace Research Institute of Materials & Processing Technology, Beijing
来源：
| 2018年 / Science Press卷 / 53期
关键词：
Aluminium alloy; Constitutive model; Ductile fracture criterion; Elevated temperature; RBF artificial neural network;
D O I：
10.3969/j.issn.0258-2724.2018.01.026
中图分类号：
学科分类号：
摘要：
In order to obtain the formation characteristics of 5A06 aluminium alloy sheets, uniaxial tensile tests were conducted under different conditions. From hot tensile and fracture tests, a modified Misiolek equation was defined that extrapolated the flow stress from the diffuse necking of the metal sheet. By using a radial basis unction (RBF) artificial neural network, a Crockroft-Latham ductile fracture threshold prediction model was also developed. An evaluation of the network compared model results with experimental data. Results show that the material flow stress is very sensitive to temperature and strain rate, and the RBF artificial neural network can predict the ductile fracture threshold with a maximum error of less than 10.6%. © 2018, Editorial Department of Journal of Southwest Jiaotong University. All right reserved.
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页码：214 / 218
页数：4
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