Identification of dislocation reaction kinetics in complex dislocation networks for continuum modeling using data-driven methods
Balduin Katzer, Kolja Zoller, Daniel Weygand, Katrin Schulz

TL;DR
This paper develops a data-driven, physically based model for dislocation network evolution during plastic deformation in metals, linking discrete dislocation dynamics to continuum modeling with orientation-dependent reaction kinetics.
Contribution
It introduces a slip system dependent rate formulation validated with dislocation dynamics data, revealing how reaction kinetics depend on crystal orientation and slip activity.
Findings
Reaction kinetics depend on crystal orientation and slip activity.
Generation of reaction density is driven by active slip systems.
Deposition of reaction density can occur on inactive slip systems.
Abstract
Plastic deformation of metals involves the complex evolution of dislocations forming strongly connected dislocation networks. These dislocation networks are based on dislocation reactions, which can form junctions during the interactions of different slip systems. Extracting the fundamentals of the network behaviour during plastic deformation by adequate physically based theories is essential for crystal plasticity models. In this work, we demonstrate how knowledge from discrete dislocation dynamics simulations to continuum-based formulations can be transferred by applying a physically based dislocation network evolution theory. By using data-driven methods, we validate a slip system dependent rate formulation of network evolution. We analyze different discrete dislocation dynamics simulation data sets of face-centred cubic single-crystals in high symmetric and non-high symmetric…
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