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An Approach for the Microstructure-Sensitive Simulation of Shear-Induced Deformation and Recrystallization in Al–Si Alloys

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Abstract

Al alloys are known to experience extensive grain refinement during shear-assisted processing techniques, an effect driven by dynamic dislocation density generation and microstructural restoration assisted by deformation-induced heating. In order to predict the extent of grain refinement of Al–Si alloys in response to the friction-assisted shear deformation, a coupling of Finite Element Method and the Kinetic Monte Carlo Potts Model is utilized in this work. We show that our microstructure-sensitive model simulates the microstructural response of Al–Si alloys to influence of shear deformation and temperature, as a recrystallization and grain growth phenomenon. The microstructural evolution of Al–Si alloys was simulated as a function of deformation, temperature, and Si composition. Simulations were performed on microstructures representing alloy compositions corresponding to pure Al, Al–1 pct Si, and Al–4 pct Si, for temperatures ranging 300 °C to 400 °C and several different magnitudes of shear. Model predictions were validated with experimental results of the grain size and orientation changes in Al–Si alloys during pin-on-disk tribometer experiments. Further, these simulations predict that the increase in Si composition results in larger heterogeneities in strain distribution under shear and commensurately tepid recrystallization. This demonstrates a plausible physical explanation for variations in grain size observed in tribometric experiments.

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Acknowledgments

This work was supported by the Laboratory Directed Research and Development program at Pacific Northwest National Laboratory (PNNL) as part of the Solid Phase Processing Science initiative. PNNL is a multiprogram national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL0-1830.

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On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Authors and Affiliations

  1. Energy and Environmental Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99354, USA

    William E. Frazier & Joshua Silverstein

  2. Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99354, USA

    Lei Li, Bharat Gwalani, Arun Devaraj, Ayoub Soulami & Peter V. Sushko

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  1. William E. Frazier
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Correspondence to William E. Frazier.

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Manuscript submitted June 8, 2021; accepted January 13, 2022.

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Frazier, W.E., Li, L., Gwalani, B. et al. An Approach for the Microstructure-Sensitive Simulation of Shear-Induced Deformation and Recrystallization in Al–Si Alloys. Metall Mater Trans A 53, 1450–1461 (2022). https://doi.org/10.1007/s11661-022-06606-4

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