Comparative Analysis of Plasticity-based GND Density Estimation Methods in Crystal Plasticity Finite Element Models
Michael Pilipchuk, Chaitali Patil, Veera Sundararaghavan

TL;DR
This paper compares different methods for estimating geometrically necessary dislocations in crystal plasticity models, highlighting their differences and proposing improvements for better accuracy in polycrystal simulations.
Contribution
It introduces a comparative analysis of GND estimation methods based on Nye tensor projections and slip gradients, and suggests improvements to enhance accuracy in polycrystal modeling.
Findings
Projection methods underestimate GND densities compared to slip gradient methods.
Using only active dislocation systems in projection techniques improves accuracy.
All methods align with analytical GND trends in simple deformation scenarios.
Abstract
In crystal plasticity finite element (CPFE) simulations, accurately quantifying geometrically necessary dislocations (GNDs) is critical for capturing strain gradients in polycrystals. We compare different methods for quantifying GNDs, all of which originate from the Nye tensor, which is computed as the curl of the plastic deformation gradient. The projection technique directly decomposes the Nye tensor onto individual screw and edge dislocation components to compute GNDs. This approach requires converting a nine-component Nye tensor into densities for a larger number of dislocation systems, a fundamentally underdetermined (non-unique) process, which is resolved using minimization. In contrast, when employing CPFE analysis, one could directly compute dislocation densities on each slip system using shear gradients. Projection and slip gradient methods are compared with respect to…
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Taxonomy
TopicsMicrostructure and mechanical properties · Nonlocal and gradient elasticity in micro/nano structures · Model Reduction and Neural Networks
