Research on parameter identification of Johnson–Cook constitutive model for TC17 titanium alloy cutting simulation

Abstract

A parameterized identification method is proposed that uses the material Johnson–Cook constitutive model to improve the accuracy of finite element simulations in cutting processes. Different Johnson–Cook constitutive models for TC17 titanium alloy were established by employing split Hopkinson pressure bar (SHPB) and parametric identification methods, and the effects of the different constitutive models on the flow stress were analyzed. The results indicate that TC17 titanium alloy has an obvious strain hardening performance with temperature and strain rate sensitivity characteristics. The constitutive model obtained by fitting experimental data has large errors at high temperatures and strain rates, but the maximum stress prediction error acquired via parameter identification is only 5.2%, and the maximum error of the cutting force is only 9.6%. The cutting experiment and finite element simulation results of the Johnson–Cook constitutive model via parameter identification shows obviously similar serrated chip under the same parameters. A comparison of the measured and simulated results certifies that the Johnson–Cook constitutive simulation as established by identified parameters is more suitable for cutting processes with high temperatures and large strain rates.