History and temperature dependent cyclic crystal plasticity model with material-invariant parameters

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dc.contributor.author Ashraf, Farhan
dc.contributor.author Castelluccio, Gustavo M.
dc.date.accessioned 2023-01-26T16:28:31Z
dc.date.available 2023-01-26T16:28:31Z
dc.date.issued 2022-12-06
dc.identifier.citation Ashraf F, Castelluccio M. (2023) History and temperature dependent cyclic crystal plasticity model with material-invariant parameters. International Journal of Plasticity, Volume 161, February 2023, Article number 103494 en_UK
dc.identifier.issn 0749-6419
dc.identifier.uri https://doi.org/10.1016/j.ijplas.2022.103494
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/19044
dc.description.abstract Cyclic deformation of metallic materials depends on the interaction of multiple mechanisms across different length scales. Solid solution atoms, vacancies, grain boundaries, and forest dislocations interfere with dislocation glide and increase the macroscopic strength. In single phase metallic materials under cyclic loading, the localization of dislocation densities in sessile substructures explains a significant fraction of the strain hardening. Upon cycling, these dislocation structures evolve across stable configurations, which depend on the strain accumulation. This work advances substructure-sensitive crystal plasticity models capable of quantifying the cyclic hardening history at various temperatures for single phase FCC materials. The framework predicts the cyclic evolution of dislocation substructure based on the activation of cross slip activation for Al, Cu, and Ni single- and poly-crystals up to 0.5 homologous temperature. The increase in cross slip with temperature and deformation induces a transformation in dislocation structures, which predicts secondary hardening without any additional provision. Moreover, the approach relies on material-invariant mesoscale parameters that are specific to dislocation substructures rather than a material system. Hence, we demonstrate that crystal plasticity predictive power can be augmented by parameterizing the model with single crystal experimental data from multiple materials with common substructures. As a result, the crystal plasticity model shares parameter information across materials without the need for additional single crystal experimental data for calibration. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Cyclic deformation en_UK
dc.subject FCC metallic materials en_UK
dc.subject Mesoscale dislocation substructures en_UK
dc.subject Single crystal en_UK
dc.title History and temperature dependent cyclic crystal plasticity model with material-invariant parameters en_UK
dc.type Article en_UK


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