Sensitivity of grain-averaged elastic strain and orientation predictions on the mesh density and boundary conditions in crystal plasticity finite element simulations
Jeremiah Lethoba, Romain Quey, Darren C. Pagan, Matthew Kasemer

TL;DR
This study investigates how mesh density and boundary conditions influence the accuracy of grain-averaged elastic strain predictions in crystal plasticity finite element simulations, aiming to optimize computational efficiency.
Contribution
It systematically analyzes the effects of mesh density and boundary conditions on prediction accuracy, establishing minimum simulation requirements for reliable results.
Findings
Accurate grain-averaged elastic strain predictions need about 250 elements per grain.
A buffer of at least three grains is necessary between the region of interest and control surfaces.
Optimal simulation conditions balance accuracy with computational cost.
Abstract
Combined high-energy X-ray diffraction microscopy (HEDM) and crystal plasticity finite element (CPFE) modeling studies have emerged as a preferred paradigm to shed insight into the evolution of elasticity and plasticity at the intragrain scale of polycrystals. In particular, far-field HEDM measures the deformation response of upwards of thousands of individual grains simultaneously in situ during mechanical loading, though measurements are primarily limited, however, to the average state of each grain -- i.e., the grain's full strain tensor, crystallographic orientation, spatial location and volume. CPFE is utilized to shed information on the intragrain deformation response, via the sub-discretization of each grain into many finite elements, though the direct point of comparison to HEDM remains the grain-averaged response. We thus seek to find the minimum simulation conditions necessary…
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Taxonomy
TopicsMicrostructure and mechanical properties · Nonlocal and gradient elasticity in micro/nano structures · Microstructure and Mechanical Properties of Steels
