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The effect of shearable clusters and precipitates on dynamic recovery of Al alloys

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Zhao,  Huan
Alloy Design and Thermomechanical Processing, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;
Mechanism-based Alloy Design, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Chen,  Xinren
Computational Sustainable Metallurgy, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Gault,  Baptiste
Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;
Imperial College, Royal School of Mines, Department of Materials, London, SW7 2AZ, UK;

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Citation

Wang, Y., Zhao, H., Chen, X., Gault, B., Brechet, Y., & Hutchinson, C. (2024). The effect of shearable clusters and precipitates on dynamic recovery of Al alloys. Acta Materialia, 265: 119643. doi:10.1016/j.actamat.2023.119643.


Cite as: https://hdl.handle.net/21.11116/0000-000E-4358-4
Abstract
The formability of Al alloys is strongly influenced by their strain hardening capacity. Whilst the effect of precipitates on yield strength has been thoroughly studied, their effects on the strain hardening behaviour have been comparatively less studied. This is especially true for the case of shearable particles, such as those formed during natural ageing, or underaging. This work presents a detailed study of the effect of shearable clusters/precipitates on the room temperature dynamic recovery of 7xxx Al alloys. The dynamic recovery behaviour is characterised by the slope of the stage III hardening (β) curve in a Kocks–Mecking plot, and the cluster/precipitate state has been characterised using small angle x-ray scattering and atom probe tomography. The rate of dynamic recovery is shown to depend non-monotonically on the yield strength of the alloy. For alloys in the solution treated and quenched state, or with an extremely fine distribution of clusters, dynamic recovery becomes more difficult with increasing alloy yield strength. However, as the cluster/particle spacing increases, such as during artificial ageing, dynamic recovery becomes easier. A phenomenological model is presented showing that the critical microstructural features controlling this non-monotonic dependence of dynamic recovery on yield strength is the ratio of the cluster/precipitate spacing and the critical annihilation distance between dynamically recovering dislocations. The model is general and describes well the experimental data. It can be used as a predictive tool to guide microstructure design for combinations of yield strength and strain hardening behaviour.