2000
DOI: 10.1016/s0921-5093(00)01048-0
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On the prediction of yield surfaces by the crystal plasticity models for fcc polycrystals

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Cited by 62 publications
(27 citation statements)
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“…9, only the yield loci size is slightly affected. This is in accord with the results of Kalidindi and Schoenfeld (2000).…”
Section: Effect Of Latent Hardening On the Polycrystal Yield Surfacessupporting
confidence: 93%
See 1 more Smart Citation
“…9, only the yield loci size is slightly affected. This is in accord with the results of Kalidindi and Schoenfeld (2000).…”
Section: Effect Of Latent Hardening On the Polycrystal Yield Surfacessupporting
confidence: 93%
“…In order to model sheet metal forming processes, it is necessary to have the correct yield locus. Without taking into account the evolution of the material microstructure such as texture, the evolution of these surfaces is impossible to reproduce with accuracy (Kalidindi and Schoenfeld, 2000;Maniatty et al, 1999;Plunkett et al, 2006;Zattarin et al, 2004). We should note that the anisotropy rising from the presence of dislocation boundaries Peeters et al, 2002;Yapici et al, 2007;Winther et al, 1997) is neglected in our analysis.…”
Section: Introductionmentioning
confidence: 99%
“…The single-crystal plasticity constitutive model used for the finite element simulations conducted for this study has been formulated in accord with the recent work of Kalidindi et al [13][14][15][16] which is formulated on the basis of earlier pioneering work in this field by the groups of Lee, Rice, Hill, Asaro, Peirce, and Needleman [17][18][19][20][21][22]. In the following we briefly summarize its essential ingredients.…”
Section: Crystal Plasticity Constitutive Modelmentioning
confidence: 99%
“…[29,30] The crystal plasticity finite element method can take most physical mechanisms into account in predicting yield locus. [31,32] These models have been studied through the comparison of the calculated yield loci with the measured ones for model validation for different metals. [33][34][35] All these efforts were aimed at providing reliable material data while minimizing the experimental effort required for calibrating a yield function.…”
Section: B Virtual Experiments and The Ctfp Modelmentioning
confidence: 99%