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Effort required to model the texture and to identify the data set for the polycrystalline models including hardening data. In the last column, referring to the tensile test with the polycrystal model, the number of Finite elements (FE) or the FFT grid size used is indicated in square brackets
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Effort required to model the texture and to identify the data set for the polycrystalline models including hardening data. In the last column, referring to the tensile test with the polycrystal model, the number of Finite elements (FE) or the FFT grid size used is indicated in square brackets
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Effort required to model the texture and to identify the data set for the polycrystalline models including hardening data. In the last column, referring to the tensile test with the polycrystal model, the number of Finite elements (FE) or the FFT grid size used is indicated in square brackets

Journal: International Journal of Material Forming

Article Title: Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

doi: 10.1007/s12289-022-01672-w

Figure Lengend Snippet: Effort required to model the texture and to identify the data set for the polycrystalline models including hardening data. In the last column, referring to the tensile test with the polycrystal model, the number of Finite elements (FE) or the FFT grid size used is indicated in square brackets

Article Snippet: This ODF was first symmetrized to impose orthotropy and the MTEX Matlab Toolbox [ ] software was used to generate 250 orientations representative of the material texture, which were further used as input in all the FE simulations with Caz2018polycrys, which relies on Caz2018singlecrys yield criterion for the description of the plastic behaviour of the constituent crystallites.

Techniques: Software