4.7 Article

Analytic model of dislocation density evolution in fcc polycrystals accounting for dislocation generation, storage, and dynamic recovery mechanisms

Journal

INTERNATIONAL JOURNAL OF PLASTICITY
Volume 151, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijplas.2021.103178

Keywords

dislocations; constitutive behavior; analytic functions; strengthening mechanisms; rate-dependent material

Funding

  1. Materials project within the Physics and Engineering Models (PEM) Subprogram element of the Advanced Simulation and Computing (ASC) Program at Los Alamos National Laboratory (LANL), United States of America
  2. National Nuclear Security Administration of the U.S. Department of Energy [89233218NCA000001]

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An analytic model of the evolution of dislocation density in fcc polycrystals, which accounts for most known dislocation storage, recovery, and generation mechanisms, is described. The model provides valuable insights into dislocation evolution in polycrystals.
An analytic model of the evolution of dislocation density in fcc polycrystals is described. The evolution equations approximately account for most known dislocation storage, dynamic recovery, and dislocation generation mechanisms in fcc polycrystals. Specifically, the model incorporates network (forest) and grain boundary storage, mobile-network and mobile-mobile annihilation, screw-screw annihilation via athermal and thermal single cross-slip, generation by double cross-slip (Koehler mechanism, including dipole formation), Frank-Read sources, grain boundary nucleation, and mobile-immobile dislocation nucleation due to shock loading. Single cross-slip is assumed to proceed through the Friedel-Escaig (FE) mechanism; the corresponding activation energy is calculated using a modified FE model. The activation energy for double cross-slip is calculated for the first time by extending the FE model. The exact evolution equations are integro-differential equations, and as such are difficult to implement in a code; hence, the evolution equations are simplified by making several approximations. Preliminary results on copper are presented, including comparisons to experimental data.

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