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Abstract Nanoindentation technology is an important experimental method to study the properties of biomaterial, thin films, and coating systems. There’re reasonable and widely-used empirical formulae to obtain the hardness and Yong’s Modulus of the material through the indentation shape and the load-displacement curve. However, there’s still a strong demand for an effective methodology to derive the plastic properties of material. In this paper, we propose a simple and effective inversion analysis method to obtain the plastic parameters combining the FEM, neural network and genetic algorithm optimization technology based on the Johnson-cook constitutive model. The reliability of the method is verified by comparing the experimental results of the load-depression curve with the finite element results.
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Received: 12 December 2022
Published: 23 October 2023
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2023, Vol. 44 
