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Published September 2024 | Published
Journal Article

A discrete dislocation analysis of size-dependent plasticity in torsion

  • 1. ROR icon California Institute of Technology

Abstract

A method for solving three dimensional discrete dislocation plasticity boundary-value problems using a monopole representation of the dislocations is presented. At each time step, the displacement, strain and stress fields in a finite body are obtained by superposition of infinite body dislocation fields and an image field that enforces the boundary conditions. The three dimensional infinite body fields are obtained by representing dislocations as being comprised of points, termed monopoles, that carry dislocation line and Burgers vector information. The image fields are obtained from a three dimensional linear elastic finite element calculation. The implementation of the coupling of the monopole representation with the finite element method, including the interaction of curved dislocations with free surfaces, is presented in some detail because it differs significantly from an implementation with a line based dislocation representation. Numerical convergence and the modeling of dislocation loop nucleation for large scale computations are investigated. The monopole discrete dislocation plasticity framework is used to investigate the effect of size and initial dislocation density on the torsion of wires with diameters varying over three orders of magnitude. Depending on the initial dislocation source density and the wire diameter, three regimes of torsion–twist response are obtained: (i) for wires with a sufficiently small diameter, plastic deformation is nucleation controlled and is strongly size dependent; (ii) for wires with larger diameters dislocation plasticity is dislocation interaction controlled, with the emergence of geometrically necessary dislocations and dislocation pile-ups playing a key role, and is strongly size dependent; and (iii) for wires with sufficiently large diameters plastic deformation becomes less heterogeneous and the dependence on size is greatly diminished.

    Copyright and License

    © 2024 Elsevier.

    Acknowledgement

    AAB acknowledges support from National Science Foundation, United States of America under grant CMMI-1950027. AC and AAB thank Vincent Chiaruttini and Jean-Didier Garaud from ONERA for assistance with the plugin interface of Z-set.

    Contributions

    A. Cruzado: Conceptualization, Data curation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. M.P. Ariza: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. A. Needleman: Conceptualization, Investigation, Methodology, Writing – review & editing. M. Ortiz: Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing. A.A. Benzerga: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Supervision, Validation, Writing – original draft, Writing – review & editing.

    Data Availability

    Data will be made available on request.

    Conflict of Interest

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

    Additional details

    Created:
    June 26, 2024
    Modified:
    June 26, 2024