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Grain Size-Dependent Crystal Plasticity Constitutive Model for Polycrystal MaterialsA new method to introduce grain size-dependence in classical crystal plasticity constitutive model is developed by considering the resistance to dislocation motion in the grain boundary influence region as equivalent to that of a work hardening. A general framework for the size-dependent constitutive model is derived by implementing this method on a core and mantle model. The work hardening, equivalent to grain boundary effect, is realized by introducing a fictitious, pre-existing, plastic strain grain boundary influence region (mantle) following the principles of classical crystal plasticity. This fictitious plastic strain, in effect, increases the yield strength and decreases the initial hardening coefficient of the grain. With the thickness of grain boundary influence region and the distribution of introduced plastic strain remaining the same, the grain boundary effect increased as the grain size becomes smaller. A simplified model that considers the grain boundary effect on a grain average sense is also developed under this general framework. Implementation of this general framework to the specific cases of crystal plasticity constitutive models is demonstrated by considering the case of power law flow rule and hyperbolic-secant hardening rule. Finally, the grain size-dependent constitutive model is validated by comparing the predicted stress-strain behavior of polycrystal samples with different average grain sizes under uniaxial loading with the experimental results.
Document ID
20180000117
Acquisition Source
Glenn Research Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Masoud Ghorbani Moghaddam
(Clarkson University Potsdam, New York, United States)
Ajit Achuthan
(Clarkson University Potsdam, New York, United States)
Brett A Bednarcyk
(Glenn Research Center Cleveland, Ohio, United States)
Steven M Arnold
(Glenn Research Center Cleveland, Ohio, United States)
Evan Jorge Pineda
(Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
January 5, 2018
Publication Date
July 29, 2017
Publication Information
Publication: Materials Science and Engineering: A
Publisher: Elsevier
Volume: 703
Issue Publication Date: August 4, 2017
ISSN: 0921-5093
Subject Category
Metals And Metallic Materials
Report/Patent Number
GRC-E-DAA-TN45822
ISSN: 0921-5093
Report Number: GRC-E-DAA-TN45822
Funding Number(s)
WBS: WBS 109492.02.03.01.30.01
PROJECT: ARMD_109492
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Grain Size
Mathematical Models
Polycrystals
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