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An energetic method to evaluate the macro and micro high-cycle fatigue behavior of the aluminum alloy

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2017 8 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Junling Fan, Xinglin Guo, Yanguang Zhao

Summary

This paper developed an energetic method to rapidly predict both macro- and microfatigue behavior of aluminum alloy in high-cycle fatigue by correlating thermal signal measurements with energy dissipation at the grain scale. The method successfully predicted fatigue strength and the entire fatigue life curve, with microplastic energy dissipation used as an indicator of progressive microstructural damage.

An energetic method is proposed to rapidly evaluate the macro- and microfatigue behavior of aluminum alloy in high-cycle fatigue. The theoretical correlation between the thermal signal and the energy dissipation during the fatigue process is established for the irreversible dissipation mechanism description. The energetic method is applied to predict the fatigue strength and the entire fatigue life of the aluminum alloy. Moreover, the energy dissipation is properly used to evaluate the microplastic behavior at the grain scale, which is responsible for the progressive movements of the internal microstructures. Experiments were carried out to validate the current energetic method, and good agreement was obtained between the predicted results and the traditional results. Thus, the current energetic method is confirmed to be promising for the macro and micro high-cycle fatigue behavior assessment.

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