2019
DOI: 10.1016/j.heliyon.2019.e01225
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Multi-scale computational modeling of lightweight aluminum-lithium alloys

Abstract: The present study addresses the multi-scale computational modeling of a lightweight Aluminum-Lithium (Al-Li) 2070 alloy. The Al-Li alloys display significant anisotropy in material properties because of their strong crystallographic texture. To understand the relationships between processing, microstructural textures at different material points and tailored material properties, a multi-scale simulation is performed by controlling the texture evolution during deformation. To achieve the multi-scale framework, … Show more

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Cited by 4 publications
(1 citation statement)
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“…The state-of-the-art UQ models mostly employ computationally expensive techniques including Monte Carlo Simulation [2,3,4,5,6,7] and thus are not well-suited for multi-scale modeling and design problems. Such numerical techniques are not feasible for the 3D multi-scale modeling of polycrystals, where the computational time requirement for a single simulation can range from hours to days [8] depending on the resolution of the macro- and meso-scale finite element meshes. In the literature, the effects of the uncertainty have been studied for nonlinear models [9,10,11], which can be of interest to observe the uncertainty in nonlinear multi-scale material systems.…”
Section: Introductionmentioning
confidence: 99%
“…The state-of-the-art UQ models mostly employ computationally expensive techniques including Monte Carlo Simulation [2,3,4,5,6,7] and thus are not well-suited for multi-scale modeling and design problems. Such numerical techniques are not feasible for the 3D multi-scale modeling of polycrystals, where the computational time requirement for a single simulation can range from hours to days [8] depending on the resolution of the macro- and meso-scale finite element meshes. In the literature, the effects of the uncertainty have been studied for nonlinear models [9,10,11], which can be of interest to observe the uncertainty in nonlinear multi-scale material systems.…”
Section: Introductionmentioning
confidence: 99%