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Modifications in the AA5083 Johnson-Cook Material Model for Use in Friction Stir Welding Computational Analyses

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Abstract

Johnson-Cook strength material model is frequently used in finite-element analyses of various manufacturing processes involving plastic deformation of metallic materials. The main attraction to this model arises from its mathematical simplicity and its ability to capture the first-order metal-working effects (e.g., those associated with the influence of plastic deformation, rate of deformation, and the attendant temperature). However, this model displays serious shortcomings when used in the engineering analyses of various hot-working processes (i.e., those utilizing temperatures higher than the material recrystallization temperature). These shortcomings are related to the fact that microstructural changes involving: (i) irreversible decrease in the dislocation density due to the operation of annealing/recrystallization processes; (ii) increase in grain-size due to high-temperature exposure; and (iii) dynamic-recrystallization-induced grain refinement are not accounted for by the model. In this study, an attempt is made to combine the basic physical-metallurgy principles with the associated kinetics relations to properly modify the Johnson-Cook material model, so that the model can be used in the analyses of metal hot-working and joining processes. The model is next used to help establish relationships between process parameters, material microstructure and properties in friction stir welding welds of AA5083 (a non-age-hardenable, solid-solution strengthened, strain-hardened/stabilized Al-Mg-Mn alloy).

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Acknowledgments

The material presented in this paper is based on work supported by two Army Research Office sponsored grants (W911NF-11-1-0207 and W911NF-09-1-0513) and two U.S. Army/Clemson University Cooperative Agreements (W911NF-04-2-0024 and W911NF-06-2-0042).

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Grujicic, M., Pandurangan, B., Yen, CF. et al. Modifications in the AA5083 Johnson-Cook Material Model for Use in Friction Stir Welding Computational Analyses. J. of Materi Eng and Perform 21, 2207–2217 (2012). https://doi.org/10.1007/s11665-011-0118-7

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  • DOI: https://doi.org/10.1007/s11665-011-0118-7

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