Predicting intragranular misorientation distributions in polycrystalline metals using the viscoplastic self-consistent formulation

Zecevic, Miroslav; Pantleon, Wolfgang; Lebensohn, Ricardo A.; McCabe, Rodney J.; Knezevic, Marko

doi:10.1016/j.actamat.2017.08.056

Predicting intragranular misorientation distributions in polycrystalline metals using the viscoplastic self-consistent formulation

Journal Article · Mon Aug 28 00:00:00 EDT 2017 · Acta Materialia

DOI:https://doi.org/10.1016/j.actamat.2017.08.056· OSTI ID:1479989

Zecevic, Miroslav ^[1]; Pantleon, Wolfgang ^[2]; Lebensohn, Ricardo A. ^[3]; McCabe, Rodney J. ^[3]; Knezevic, Marko ^[4]

Univ. of New Hampshire, Durham, NH (United States). Dept. of Mechanical Engineering; Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Technical Univ. of Denmark, Lyngby (Denmark). Dept. of Mechanical Engineering
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Univ. of New Hampshire, Durham, NH (United States). Dept. of Mechanical Engineering

In a recent paper, we reported the methodology to calculate intragranular fluctuations in the instantaneous lattice rotation rates in polycrystalline materials within the mean-field viscoplastic self-consistent (VPSC) model. Here, this paper is concerned with the time integration and subsequent use of these fluctuations to predict orientation-dependent misorientation distributions developing inside each grain representing the polycrystalline aggregate. To this end, we propose and assess two approaches to update the intragranular misorientation distribution within the VPSC framework. To illustrate both approaches, we calculate intragranular misorientations in face-centered cubic polycrystals deformed in tension and plane-strain compression. These predictions are tested by comparison with corresponding experiments for polycrystalline copper and aluminum, respectively, and with full-field calculations. It is observed that at sufficiently high strains some grains develop large misorientations that may lead to grain fragmentation and/or act as driving forces for recrystallization. Finally, the proposed VPSC-based prediction of intragranular misorientations enables modeling of grain fragmentation, as well as a more accurate modeling of texture using a computationally efficient mean-field approach, as opposed to computationally more expensive full-field approaches.

View Accepted Manuscript (DOE)

Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of New Hampshire, Durham, NH (United States)

Sponsoring Organization:: USDOE; LANL Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1479989

Alternate ID(s):: OSTI ID: 1549918

Report Number(s):: LA-UR--18-22506

Journal Information:: Acta Materialia, Journal Name: Acta Materialia Vol. 140; ISSN 1359-6454

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Computational Homogenization of Polycrystals Segurado, J.; Lebensohn, R. A.; LLorca, J. arXiv https://doi.org/10.48550/arxiv.1804.02538	text	January 2018

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36 MATERIALS SCIENCE
42 ENGINEERING
crystal plasticity
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Predicting intragranular misorientation distributions in polycrystalline metals using the viscoplastic self-consistent formulation

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