This paper investigates the orientation-dependent characteristics of pure zinc under localized loading using nanoindentation experiments and crystal plasticity finite element (CPFEM) simulations. Nanoindentation experiments on different grain orientations exhibited distinct load–depth responses. Atomic force microscopy revealed two-fold unsymmetrical material pile-up patterns. Obtaining crystal plasticity model parameters usually requires time-consuming micromechanical tests. Inverse analysis using experimental and simulated loading–unloading nanoindentation curves of individual grains is commonly used, however the solution to the inverse identification problem is not necessarily unique. In this study, an approach is presented allowing the identification of CPFEM constitutive parameters from nanoindentation curves and residual topographies. The proposed approach combines the response surface methodology together with a genetic algorithm to determine an optimal set of parameters. The CPFEM simulations corroborate with measured nanoindentation curves and residual profiles and reveal the evolution of deformation activity underneath the indenter.
In this study, the orientation-dependent response of as-received annealed cold-rolled pure zinc and material with thickness reduction rate of 50% grains using instrumented indentation tests is investigated. The experiments were characterized by orientation microscopy and atomic force microscopy scans to quantify the orientation-dependent mechanical response during nanoindentation. The single crystal hardening parameters are then identified for each family of slip system by using crystal plasticity finite element (CPFE) simulations. Comparison between experimental and numerical results in terms of “load-penetration depth” curves show a good agreement. The increased percentage of cold reduction increases the identified critical resolved shear stress (CRSS). Finally, the accuracy of the model is evaluated by comparing experimental and numerical data issued from nanoindentation response grains of distinct crystalline orientations involving different slip systems activity rates.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.