2019
DOI: 10.1016/j.ijplas.2019.06.001
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Investigating mesh sensitivity and polycrystalline RVEs in crystal plasticity finite element simulations

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Cited by 73 publications
(31 citation statements)
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“…The averaged local strain was also similar for both resolutions. The effect of mesh refinement on shear bands in CP-FEM simulations is well known and investigated thoroughly (Lim et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…The averaged local strain was also similar for both resolutions. The effect of mesh refinement on shear bands in CP-FEM simulations is well known and investigated thoroughly (Lim et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…In addition to cold working, there are also other mechanisms that are likely to cause the deviations observed between the predicted and experimental stress versus strain histories as it relates to strain hardening behavior and elongation at failure. Among these mechanisms, grain size effects (Ref 64 , 65 ) (e.g., Hall–Petch relationship (Ref 66 )), which require implementation of strain gradient plasticity models (Ref 67 ) in the model of this study, may also play a role.…”
Section: Resultsmentioning
confidence: 99%
“…79 Hojun et al observe that the predicted von Mises stress values have a scatter of up to 11.7% when fewer than 100 elements are defined in individual grains. 80 This quantitative RVE convergence study ensures that the resulting simulation scatter due to inherent VT algorithm shortcomings is minimized to a reasonable level so that both VT and EBSD models represent the (statistically) same grain size distribution. One benefit of the VT method is convenience with respect to studying RVE convergence; this is due to the artificial nature of the model, whereby it is straight-forward to generate models with increasing numbers of grains for the same grain size distribution.…”
Section: Rve Converged Model Size Determinationmentioning
confidence: 96%
“…Von Mises stress values have a scatter of up to 11.7% when fewer than 100 elements are defined in individual grains 80 . This quantitative RVE convergence study ensures that the resulting simulation scatter due to inherent VT algorithm shortcomings is minimized to a reasonable level so that both VT and EBSD models represent the (statistically) same grain size distribution.…”
Section: Determination Of a Converged Definitive Vt Modelmentioning
confidence: 99%