精确预测近平面应变载荷下各向异性行为的 屈服准则参数识别策略

Translated title of the contribution: Parameter Identification Strategy of Yield Criterion for Accurately Predicting Anisotropic Behaviors under Near Plane Strain Loading
  • Kai Du
  • , Yanqiang Ren
  • , Yong Hou
  • , Xiaoqiang Li
  • , Shuaifeng Chen
  • , Liang Sun
  • , Xiaojiao Zuo*
  • , Xiaoguang Yuan
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

With the increasing demands for forming accuracy of stamped parts in the modern automobile industries, the accuracy of models describing the deformation behavior of commercial sheet metals should be improved accordingly. In the context, a parameter identification strategy was proposed based upon uniaxial tension, equi-biaxial tension, and near-plane strain data to calibrate advanced anisotropic yield criteria, combined with current industrial laboratory testing capabilities. The newly proposed calibration method was applied to the BBC2008 yield criterion and compared with several other yield criteria, including the widely used Hill48 and Balat89 in the industry, as well as Yld2004-18p, Yld2011-27p, Yoshida2013, and Poly4 * Hosford, which had similar flexibility to BBC2008. The effectiveness and applicability of the new parameter identification strategy were verified by quantitatively evaluating the predicted errors of the yield loci in the normal and diagonal planes, equi-biaxial and uniaxial tensile yield stresses, and plastic strain rations for MP980 and SPCE steels, as well as 5182-0 and A6XXX-T4 aluminum alloys. The results show that the new method may comprehensively improve the ability to describe plastic anisotropy, especially for diagonal plane shear yield loci. There are significant differences in the ability of different yield criteria to describe the anisotropic behavior of commercial sheet metals. In particular, under the premise of calibrating yield criteria with the same mechanics properties data, releasing the potential adjustment ability of the exponent is more important than increasing the number of material parameters.

Translated title of the contributionParameter Identification Strategy of Yield Criterion for Accurately Predicting Anisotropic Behaviors under Near Plane Strain Loading
Original languageChinese (Traditional)
Pages (from-to)2381-2393
Number of pages13
JournalZhongguo Jixie Gongcheng/China Mechanical Engineering
Volume34
Issue number19
DOIs
StatePublished - 2023

Fingerprint

Dive into the research topics of 'Parameter Identification Strategy of Yield Criterion for Accurately Predicting Anisotropic Behaviors under Near Plane Strain Loading'. Together they form a unique fingerprint.

Cite this