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Title: Average intragranular misorientation trends in polycrystalline materials predicted by a viscoplastic self-consistent approach

Journal Article · · Acta Materialia
 [1];  [2];  [3];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of New Hampshire, Durham, NH (United States)
  3. Univ. of New Hampshire, Durham, NH (United States)
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Here, this work presents estimations of average intragranular fluctuations of lattice rotation rates in polycrystalline materials, obtained by means of the viscoplastic self-consistent (VPSC) model. These fluctuations give a tensorial measure of the trend of misorientation developing inside each single crystal grain representing a polycrystalline aggregate. We first report details of the algorithm implemented in the VPSC code to estimate these fluctuations, which are then validated by comparison with corresponding full-field calculations. Next, we present predictions of average intragranular fluctuations of lattice rotation rates for cubic aggregates, which are rationalized by comparison with experimental evidence on annealing textures of fcc and bcc polycrystals deformed in tension and compression, respectively, as well as with measured intragranular misorientation distributions in a Cu polycrystal deformed in tension. The orientation-dependent and micromechanically-based estimations of intragranular misorientations that can be derived from the present implementation are necessary to formulate sound sub-models for the prediction of quantitatively accurate deformation textures, grain fragmentation, and recrystallization textures using the VPSC approach.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
FWP-06SCPE401; 20140630ER; AC52-06NA25396
OSTI ID:
1248968
Alternate ID(s):
OSTI ID: 1358705
Report Number(s):
LA-UR-15-28112; PII: S1359645415300355
Journal Information:
Acta Materialia, Vol. 104, Issue C; ISSN 1359-6454
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 52 works
Citation information provided by
Web of Science

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Cited By (2)

Computational Homogenization of Polycrystals text January 2018
Deformation of Single Crystals, Polycrystalline Materials, and Thin Films: A Review journal June 2019

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Related Subjects

36 MATERIALS SCIENCE
polycrystal plasticity modeling
micromechanics
misorientation
texture
recrystallization