An analysis of the influence of grain size on the strength of FCC polycrystals by means of computational homogenization
S. Haouala, J. Segurado, J. LLorca

TL;DR
This study uses computational homogenization with dislocation-based models to analyze how grain size influences the flow stress of FCC polycrystals, revealing the dominant role of initial dislocation density and the conditions under which size effects follow a power-law.
Contribution
It introduces a multiscale simulation approach combining crystal plasticity and dislocation models to explore microstructural effects on grain size strength dependence in FCC metals.
Findings
Initial dislocation density significantly affects grain size strength relation.
Power-law dependence holds for small strains and low dislocation densities.
Breakdown of inverse power law at high dislocation densities and large grain sizes.
Abstract
The effect of grain size on the flow stress of FCC polycrystals is analyzed by means of a multiscale strategy based on computational homogenization of the polycrystal aggregate. The mechanical behavior of each crystal is given by a dislocation-based crystal plasticity model in which the critical resolved shear stress follows the Taylor model. The generation and annihilation of dislocations in each slip system during deformation is given by the Kocks-Mecking model, which was modified to account for the dislocation storage at the grain boundaries. Polycrystalline Cu is selected to validate the simulation strategy and all the model parameters are obtained from dislocation dynamics simulations or experiments at lower length scales and the simulation results were in good agreement with experimental data in the literature. The model is applied to explore the influence of different…
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