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Proceedings 2018, 2(8), 382; https://doi.org/10.3390/ICEM18-05208

Inverse Yield Locus Identification of Sheet Metal Using a Complex Cruciform in Biaxial Tension and Digital Image Correlation

1
Department of Materials Engineering, KU Leuven, 9000 Ghent, Belgium
2
Department of Mechanical Engineering, Gifu University, Gifu 501-1193, Japan
3
Department of Mechanical Engineering, Nihon University, Chiba 275-8575, Japan
4
Division of Advanced Mechanical Systems Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
Presented at the 18th International Conference on Experimental Mechanics, Brussels, Belgium, 1–5 July 2018.
*
Author to whom correspondence should be addressed.
Published: 9 May 2018
PDF [2173 KB, uploaded 24 May 2018]

Abstract

Finite Element Model Updating (FEMU) is an intuitive inverse technique enabling to efficiently characterize plastic material behavior. Although, conclusive proof of concept for this method can be found in literature, a thorough understanding of the key FEMU-ingredients and their impact on the identification of plastic anisotropy is currently missing. In this paper, we aim at minimizing the experimental work associated with yield locus identification of sheet metal via homogeneous biaxial tensile tests. To this end, a biaxial tension apparatus with link mechanism is used to generate a heterogeneous deformation field within a perforated cruciform specimen. The experimentally measured force and displacement field are used in the FEMU procedure to identify an anisotropic yield criterion. The FEMU approach is assessed by comparing the results with experimental data acquired from state-of-the-art stress-controlled biaxial tensile test in the first quadrant of stress-space.
Keywords: anisotropic yield function; Finite Element Model Updating; digital image correlation; biaxial tensile testing anisotropic yield function; Finite Element Model Updating; digital image correlation; biaxial tensile testing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Coppieters, S.; Hakoyama, T.; Debruyne, D.; Takahashi, S.; Kuwabara, T. Inverse Yield Locus Identification of Sheet Metal Using a Complex Cruciform in Biaxial Tension and Digital Image Correlation. Proceedings 2018, 2, 382.

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