Recognition method of metal material cutting constitutive model parameters

Abstract

The invention relates to a recognition method of metal material cutting structure model parameters. The method comprises the following steps of 1, adopting a JC constitutive model to describe a cutting constitutive model of a material; 2, conducting compression experiment and fitting on a metal material specimen to solve JC constitutive model parameters of the metal material under a low strain rate; 3, using the constitutive model parameters obtained by recognition through the compression experiment in the step 2 as an initial value to establish an optimization target function; 4, setting a standard value of an error between an experiment value of a flow stress and a predicted value, and obtaining a structure parameter optimal solution of the metal material specimen based on a genetic optimization algorithm; 5, verifying the correctness of the parameters obtained by recognizing the JC structure model of the metal material. According to the recognition method of the metal material cutting structure model parameters, the flow stress value obtained through the JC structure model is very close to an actual flow stress value of the metal material, and the efficiency in the process of recognizing the constitutive model parameters is very high; meanwhile, a special apparatus is not needed to conduct a large quantity of compression experiments, and therefore the cost is lowered.

Description

technical field [0001] The invention relates to the technical field of parameter identification, in particular to a method for identifying parameters of a metal material cutting constitutive model. Background technique [0002] At present, there are few studies on the plastic deformation behavior of metallic materials under high strain rates during cutting. Therefore, in order to accurately describe the cutting deformation behavior of metal specimens, it is necessary to establish an accurate material constitutive model and identify the corresponding model parameters, which is of great benefit to accurately predict the state quantity of the cutting process, improve the surface quality of the part, and optimize the cutting process. [0003] Usually, the flow stress σ and strain ε and strain rate of metal material cutting process It is related to physical quantities such as temperature T, and there is a complex constitutive relationship between them: At present, many schola...

AI Technical Summary

Problems solved by technology

For a specific constitutive model, reliable constitutive data and corresponding mathematical expressions are required, and the material compression experiment method is the most effective method, and the SHPB experiment is generally used to reproduce the deformation process of the material during the cutting process. Although it has been widely used in the identification of material constitutive parameters, there are...

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