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Numerical modeling for accurate prediction of strain localization in hole expansion of a steel sheet

Title
Numerical modeling for accurate prediction of strain localization in hole expansion of a steel sheet
Authors
Lee, Jeong-YeonLee, Ki-JungLee, Myoung-GyuKuwabara, ToshihikoBarlat, Frederic
Date Issued
Jan-2019
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Abstract
The hole expansion of a low carbon steel sheet shows an interesting feature that localized thinning and subsequent crack initiation are observed inside the specimen, and not at the hole edge as is typically expected. The present work investigated a numerical modeling approach to predict this localization behavior within the framework of a finite element (FE) analysis. Plastic anisotropy of the sheet was taken into account using the anisotropic yield functions Yld2000-2d and Yld2004-18p for the plane stress and three-dimensional elements, respectively. Careful examination of the FE model revealed that the influence of the out-of-plane stress is very small, suggesting that shell elements can be efficiently used in the analysis. The influence of friction was also found to be negligibly small. However, the constitutive description exhibited a significant influence in that even a slight change in the yield function parameters resulted in a considerable difference in the prediction. For this reason, several sets of parameters were obtained based on the different material properties, and their influences on the hole expansion simulation were analyzed. In particular, the prediction accuracy could be greatly improved when the yield function parameters were optimized such that the flow stresses and plastic strain rate ratios in uniaxial and plane strain states were well captured. (C) 2018 Elsevier Ltd. All rights reserved.
URI
http://oasis.postech.ac.kr/handle/2014.oak/95320
ISSN
0020-7683
Article Type
Article
Citation
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, vol. 156, page. 107 - 118, 2019-01
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 BARLAT, FREDERIC GERARD
Graduate Institute of Ferrous Technology
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