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Influence of the plastic anisotropy modelling in the reverse deep drawing process simulation
Graphical abstract
Highlights Plastic anisotropy modelled by Hill 1948 and Barlat 1991 yield criteria. Relationship between the strain paths and the predicted final thickness. Thickness distribution highly influenced by the yield criterion. Barlat 1991 yield criterion provides results closer to the experimental ones.
Abstract This study deals with the description of the anisotropic behaviour of the mild steel sheet used in the reverse deep drawing process of a cylindrical cup, which was proposed as benchmark at the Numisheet’99 conference. The effect of the yield criterion on the numerical results is analysed using three yield functions, von Mises, Hill’48 and Barlat Yld’91, combined with the Swift hardening law. The anisotropy parameters of the Hill’48 model are identified using either the yield stresses or r-values, obtained from the uniaxial tensile test at three different directions. On the other hand, the anisotropy parameters of the Yld’91 are determined taking into account both the yield stresses and r-values, minimizing an objective function. The comparison between experimental and numerical results is presented, being the punch force evolution and the thickness distribution along the cup wall the principal variables under study. In both forming stages, the predicted punch force evolution is close to the experimental one, whatever the yield criterion adopted. Nevertheless, the cup wall thickness distribution is strongly influenced by the yield criteria, being clearly overestimated by the von Mises yield criterion. On the other hand, the Yld’91 yield criterion provides a thickness distribution closer to the experimental one, for both forming stages. The strain paths during both forming stages ranges from uniaxial compression, when the material flows between the die and blank-holder, to plane strain in the cup wall, whereas the important strain path changes occurs in the die radius.
Influence of the plastic anisotropy modelling in the reverse deep drawing process simulation
Graphical abstract
Highlights Plastic anisotropy modelled by Hill 1948 and Barlat 1991 yield criteria. Relationship between the strain paths and the predicted final thickness. Thickness distribution highly influenced by the yield criterion. Barlat 1991 yield criterion provides results closer to the experimental ones.
Abstract This study deals with the description of the anisotropic behaviour of the mild steel sheet used in the reverse deep drawing process of a cylindrical cup, which was proposed as benchmark at the Numisheet’99 conference. The effect of the yield criterion on the numerical results is analysed using three yield functions, von Mises, Hill’48 and Barlat Yld’91, combined with the Swift hardening law. The anisotropy parameters of the Hill’48 model are identified using either the yield stresses or r-values, obtained from the uniaxial tensile test at three different directions. On the other hand, the anisotropy parameters of the Yld’91 are determined taking into account both the yield stresses and r-values, minimizing an objective function. The comparison between experimental and numerical results is presented, being the punch force evolution and the thickness distribution along the cup wall the principal variables under study. In both forming stages, the predicted punch force evolution is close to the experimental one, whatever the yield criterion adopted. Nevertheless, the cup wall thickness distribution is strongly influenced by the yield criteria, being clearly overestimated by the von Mises yield criterion. On the other hand, the Yld’91 yield criterion provides a thickness distribution closer to the experimental one, for both forming stages. The strain paths during both forming stages ranges from uniaxial compression, when the material flows between the die and blank-holder, to plane strain in the cup wall, whereas the important strain path changes occurs in the die radius.
Influence of the plastic anisotropy modelling in the reverse deep drawing process simulation
Neto, D.M. (author) / Oliveira, M.C. (author) / Alves, J.L. (author) / Menezes, L.F. (author)
2014-04-02
12 pages
Article (Journal)
Electronic Resource
English
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