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Dynamic mechanical characterization of aluminum: analysis of strain-rate-dependent behavior

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Abstract

A significant number of materials show different mechanical behavior under dynamic loads compared to quasi-static (Salvado et al. in Prog. Mater. Sci. 88:186–231, 2017). Therefore, a comprehensive study of material dynamic behavior is essential for applications in which dynamic loads are dominant (Li et al. in J. Mater. Process. Technol. 255:373–386, 2018). In this work, aluminum 6061-T6, as an example of ductile alloys with numerous applications including in the aerospace industry, has been studied under quasi-static and dynamic tensile tests with strain rates of up to \(156~\mbox{s}^{-1}\). Dogbone specimens were designed, instrumented and tested with a high speed servo-hydraulic load frame, and the results were validated with the literature. It was observed that at a strain rate of \(156~\mbox{s}^{-1}\) the yield and ultimate strength increased by \(31\%\) and \(33\%\) from their quasi-static values, respectively. Moreover, the failure elongation and fracture energy per unit volume also increased by \(18\%\) and \(52\%\), respectively. A Johnson–Cook model was used to capture the behavior of the material at different strain rates, and a modified version of this model was presented to enhance the capabilities of the original model, especially in predicting material properties close to the failure point. Finally, the fracture surfaces of specimens tested under quasi-static and dynamic loads were compared and conclusions about the differences were drawn.

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Acknowledgements

The author acknowledges the great assistance from Richard Desnoyers, Andrew Christie, John Rogers, Gang Li, John MacMillan, Behnam Ashrafi, Alex Naftel, Joshua Jones, and Andrew Johnston. Financial support by the National Research Council Canada (NRC) through the Security Materials Technology (SMT) program is also appreciated.

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Correspondence to Meysam Rahmat.

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Rahmat, M. Dynamic mechanical characterization of aluminum: analysis of strain-rate-dependent behavior. Mech Time-Depend Mater 23, 385–405 (2019). https://doi.org/10.1007/s11043-018-9393-0

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  • DOI: https://doi.org/10.1007/s11043-018-9393-0

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