Abstract

Direct Molecular Dynamics (MD) simulations are being increasingly employed to model dislocation-mediated crystal plasticity with atomic resolution. Thanks to the dislocation extraction algorithm (DXA), dislocation lines can be now accurately detected and positioned in space and their Burgers vector unambiguously identified in silico, while the simulation is being performed. However, DXA extracts static snapshots of dislocation configurations that by themselves present no information on dislocation motion. Referred to as a sweep-tracing algorithm (STA), here we introduce a practical computational method to observe dislocation motion and to accurately quantify its important characteristics such as preferential slip planes (slip crystallography). STA reconnects pairs of successive snapshots extracted by DXA and computes elementary slip facets thus precisely tracing the motion of dislocation segments from one snapshot to the next. As a testbed for our new method, we apply STA to the analysis of dislocation motion in large-scale MD simulations of single crystal plasticity in BCC metals. We observe that, when the crystal is subjected to uniaxial deformation along its [001] axis, dislocation slip predominantly occurs on the {112} maximum resolved shear stress plane under tension, while in compression slip is non-crystallographic (pencil) resulting in asymmetric mechanical response. The marked contrast in the observed slip crystallography is attributed to the twinning/anti-twinning asymmetry of shears in the {112} planes relatively favoring dislocation motion in the twinning sense while hindering dislocations from moving in the anti-twinning directions.

Highlights

  • Understanding metal plasticity from the collective motion of dislocations has been one of the main objectives for materials scientists ever since dislocations were first proposed as the microscopic agents of crystal plasticity

  • The recent surge of interest in large-scale Molecular Dynamics (MD) simulations of dislocation-mediated plasticity has been greatly facilitated by the dislocation extraction algorithm (DXA) (Stukowski and Albe 2010; Stukowski 2014) that has become instrumental in analyzing the MD data

  • Asymmetry in crystallographic slip Having earlier observed that memory of initial dislocation sources persists to rather substantial strains, to exclude such transients and to analyze intrinsic crystallography of dislocation motion we show in Fig. 5a-b the integral statistics of slip facet normals computed on every pair of dislocation networks over the interval of true strains from 0.5 to 1.0

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Summary

Introduction

Understanding metal plasticity from the collective motion of dislocations has been one of the main objectives for materials scientists ever since dislocations were first proposed as the microscopic agents of crystal plasticity. {112} MRSSP, under compression the enhanced resistance to screw dislocation glide in the AT directions results in a relative depletion of screw characters near MRSSP and in a much wider distribution of dislocation flux over the planes of the Burgers vector zone.

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