4.6 Article

Microstructure-sensitive large-deformation model for thermomechanical processing simulations

Journal

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijsolstr.2021.111161

Keywords

Thermomechanical; Crystal plasticity; Aluminium alloy; Large deformation; Finite element; Shear band; Forging

Categories

Funding

  1. Leading Innovations for Tomorrow (LIFT)

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The current computational mechanics methods lack coupling between remeshing and microstructure-sensitive models, which are necessary for considering microstructural evolution during forming operations. By integrating remeshing capabilities with crystal plasticity finite element (CPFE) model and enhancing 3D adaptivity in LS-DYNA, it is possible to accurately predict the evolution of microstructures and shear band formation in forged parts, leading to improved strength, life, and manufacturing yield.
Current computational mechanics methods lack coupling between remeshing and microstructure-sensitive models. However, this combination is necessary to consider microstructural evolution during large-deformation, thermomechanical forming operations. A model focused on improving microstructure prediction under forming operations through the advancement of remeshing capabilities integrated with crystal plasticity finite element (CPFE) is developed. To enable coupling between remeshing and a large deformation crystal plasticity model, the current 3D adaptivity (i.e., remeshing) capabilities in LS-DYNA were enhanced to be compatible with a CPFE model. These enhancements include developing remapping techniques that properly account for crystallographic texture evolution during deformation. The tech-niques used for mapping of microstructure-related variables differ from the smooth interpolation schemes typically used for mapping of other field variables such as stress or displacement. It is demon-strated that combining the nonlinear large deformation capabilities of LS-DYNA, microstructure-sensitive remapping, and a CPFE model yields a simulation framework capable of accurately predicting evolution of location-specific forged part microstructures and shear band formation. Greater microstructural accu-racy in large-deformation models can lead to improved strength, life, and manufacturing yield of light-weight forged parts. (c) 2021 Elsevier Ltd. All rights reserved.

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