Nonlinear stress path experiment using mild steel sheet for validation of material model

Nonlinear stress path experiment using mild steel sheet for validation of material model

TAKADA Yusuke, KUWABARA Toshihiko

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Abstract. A linear stress path (LSP) experiment was performed using uniaxial and biaxial tensile tests with a cold-rolled mild steel sheet (SPCD; nominal thickness: 0.8 mm) as the test material. In the LSP experiment, nine LSPs were applied to the specimens to measure the contours of plastic work and the directions of the plastic strain rates, β, for a plastic strain range of 0.002 ≤〖 ε〗_0^p ≤ 0.234. Then, the Yld2000-2d yield function (Barlat et al., 2003) was used to identify a material model that accurately reproduces the experimental data observed in the LSP experiment. Furthermore, a nonlinear stress path (NLSP) experiment was performed. The NLSP consists of two linear stress paths with σ_x:σ_y = 4:1 and 1:1, and a curved stress path connecting the LSPs. The measured work hardening behavior and β values were compared with those calculated using the Yld2000-2d yield function identified from the LSP experiment. It was found that the deformation behavior of the test sample predicted by the material model determined from the LSP experiment clearly shows some deviation from that observed for the NLSP experiment.

Keywords
Mechanical Test, Biaxial Stress, Mild Steel Sheet, Yield Function, Linear Stress Path, Nonlinear Stress Path, Contour Of Plastic Work, Biaxial Tube Expansion Test

Published online 4/19/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: TAKADA Yusuke, KUWABARA Toshihiko, Nonlinear stress path experiment using mild steel sheet for validation of material model, Materials Research Proceedings, Vol. 28, pp 779-786, 2023

DOI: https://doi.org/10.21741/9781644902479-85

The article was published as article 85 of the book Material Forming

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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