Modeling the climb-assisted glide of edge dislocations through a random distribution of nanosized vacancy clusters

Marie Landeiro dos Reis (1) , Laurent Proville (1) , Maxime Sauzay (2)

1 SRMP - Service de recherches de métallurgie physique
2 SRMA - Service des Recherches Métallurgiques Appliquées

A multiscale model is developed to simulate the climb-assisted glide of edge dislocations anchored by a random distribution of nanosized vacancy clusters. Atomic-scale simulations allowed us to characterize the interactions between an edge dislocation and nanovoids as a function of their sizes and shapes. The atomic-scale data were used to calibrate the parameters of an elastic line model, which we employed to evaluate the average glide distance of a dislocation with realistic dimensions. To complete our scheme, a standard model for the climb velocity of edge dislocations was enhanced with atomic-scale inputs in order to determine the deformation rate expected through the climb-assisted glide. Our predictions made for the archetypical case of Al are in good agreement with experiments of different types, i.e., tensile deformation tests and steady creep tests.

Domains: Materials Science [cond-mat.mtrl-sci]

Marie Landeiro dos Reis, Laurent Proville, Maxime Sauzay. Modeling the climb-assisted glide of edge dislocations through a random distribution of nanosized vacancy clusters. Physical Review Materials, 2018, 2, pp.093604. ⟨10.1103/PhysRevMaterials.2.093604⟩. ⟨cea-02447261⟩