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Texture Modeling of Accumulative Roll‐Bonding Processed Aluminum Single Crystal {1 2 3}<6 3 4> by Crystal Plasticity FE
Author(s) -
Wang Hui,
Lu Cheng,
Tieu Kiet,
Wei Peitang,
Yu Hailiang
Publication year - 2019
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.201800827
Subject(s) - materials science , crystal plasticity , plasticity , slip (aerodynamics) , shear (geology) , stacking , aluminium , crystal (programming language) , single crystal , texture (cosmology) , critical resolved shear stress , crystallography , finite element method , accumulative roll bonding , composite material , metallurgy , structural engineering , thermodynamics , shear rate , nuclear magnetic resonance , artificial intelligence , computer science , chemistry , physics , image (mathematics) , engineering , programming language , viscosity
Texture modeling of accumulative roll‐bonding (ARB) is challenging due to the involved cutting, stacking, and roll‐bonding. In the present study, the crystal plasticity finite element model is used to study the texture evolution in an ARB processed aluminum single crystal. The predictions, after being validated by the experimental observations, are analyzed, and an inhomogeneous through‐thickness deformation, in terms of slip system activation, crystal rotation, and shear strain, is revealed. It is found that the cutting‐stacking causes shear strain reversal and crystal rotation reversal. The dynamic balance between the formed and destroyed (4 4 11)[11 118 ¯ ] and (0 0 1)[1 1 0] makes them stable in area fraction. Besides, another modeling skill, Submodel, is used to improve the texture prediction by increasing the mesh resolution in smaller regions, and microbands associated with the primarily activated slip systems are predicted in the Submodel.