Building texture evolution networks for deformation processing of polycrystalline fcc metals using spectral approaches: applications to process design for targeted performance

DOI10.1016/j.ijplas.2010.03.010zbMath1426.74103OpenAlexW2057615418WikidataQ105183580 ScholiaQ105183580MaRDI QIDQ422662

Surya R. Kalidindi, Marko Knezevic, Joshua B. Shaffer

Publication date: 18 May 2012

Published in: International Journal of Plasticity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijplas.2010.03.010

zbMATH Keywords

B. crystal plasticityA. microstructuresB. anisotropic materialC. numerical algorithmsC. optimization

Mathematics Subject Classification ID

Crystalline structure (74E15) Texture in solid mechanics (74E25) Large-strain, rate-dependent theories of plasticity (74C20) Spectral and related methods applied to problems in solid mechanics (74S25)

Related Items (7)

Explicit incorporation of deformation twins into crystal plasticity finite element models ⋮ Computer implementations of iterative and non-iterative crystal plasticity solvers on high performance graphics hardware ⋮ A multi-GPU implementation of a full-field crystal plasticity solver for efficient modeling of high-resolution microstructures ⋮ Three orders of magnitude improved efficiency with high-performance spectral crystal plasticity on GPU platforms ⋮ Continuum modeling of the response of a Mg alloy AZ31 rolled sheet during uniaxial deformation ⋮ A new visco-plastic self-consistent formulation implicit in dislocation-based hardening within implicit finite elements: application to high strain rate and impact deformation of tantalum ⋮ Spectral database constitutive representation within a spectral micromechanical solver for computationally efficient polycrystal plasticity modelling

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