Abstract
In this paper, a methodology, for calculating the stress level of monotonic plastically pre-hardened materials, using the instrumented indentation technique (IIT) coupled to the inverse analysis technique (IAT) is presented. In this methodology, the Voce work-hardening law is always considered as the work hardening law of the studied material. This methodology has shown a very good efficiency in determining the stress levels and the plastic strains undergone by two pre-hardened pseudo-materials. That was encouraging for applying this methodology on real metal sheets. Three metal sheets were studied (DC01 and DP600 steels and aluminum alloy 2017). In the case of the as-received sheets, the identified laws show precise results for plastic strains between 3 % and 6 % which correspond approximately to the representative strain in the case of spherical indentation. Tensile samples were then pre-hardened by imposing a monotonic plastic strain. Three levels of plastic pre-strains were imposed. Concerning low pre-hardening levels, very satisfying results were obtained where this methodology showed a great efficiency in determining the stress level and the plastic pre-strain undergone by the pre-hardened sheet. For high pre-hardening levels, a small under-estimation of the stress level and the plastic pre-strain was obtained. In this latter case, work is being carried out to improve the results by enriching the experimental data provided for the inverse analysis computations.
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Mohamad Idriss received his M.S. degrees from the Lebanese University-Lebanon and INSA de Rennes-France. He received his Ph.D. from University of Rennes 1-France. He is currently a post-doctoral fellow at CTA-BRP-UdeS (Canada). His main research interests include Numerical simulations; Mechanical behavior of materials; Inverse analysis; Adhesive bonding; Laser welding.
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Idriss, M., Bartier, O., Mauvoisin, G. et al. Determining the stress level of monotonic plastically pre-hardened metal sheets using the spherical instrumented indentation technique. J Mech Sci Technol 33, 183–195 (2019). https://doi.org/10.1007/s12206-018-1218-1
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DOI: https://doi.org/10.1007/s12206-018-1218-1