Hot uniaxial tensile test is conducted on AZ31B alloy within 200 to 350 °C temperatures with intervals of 50 °C and at a quasi-static strain rate ranging from 0.1 to 0.001 s−1. A novel Johnson–Cook (J–C) model has been implemented and evaluated against the traditional J–C model and its previous modifications. The traditional J–C model independently relates flow stress to strain-hardening, strain-rate and temperature effects. However, it cannot able to capture flow stress efficiently. While the modified J–C model accounts for the combined impact of temperature and strain-rate, it may not yield accurate flow stress predictions. The current approach combines the strain-hardening parameter from the traditional J–C model with the modified J–C model's temperature and strain-rate effects into a novel J–C for better flow stress prediction. The average absolute relative error (AARE) and correlation coefficient (R) are determined. The traditional J–C model captured the plastic stress with 39% AARE and R-value of 0.87. However, the new J–C model’s prediction is within a 95% confidence band, with AARE and R values of 14% and 0.96, respectively.

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Novel Johnson–Cook Constitutive Model for Hot Tensile Response Prediction of AZ31B Alloy

  • Aarjoo Jaimin,
  • Nitin Kotkunde,
  • Swadesh K. Singh

摘要

Hot uniaxial tensile test is conducted on AZ31B alloy within 200 to 350 °C temperatures with intervals of 50 °C and at a quasi-static strain rate ranging from 0.1 to 0.001 s−1. A novel Johnson–Cook (J–C) model has been implemented and evaluated against the traditional J–C model and its previous modifications. The traditional J–C model independently relates flow stress to strain-hardening, strain-rate and temperature effects. However, it cannot able to capture flow stress efficiently. While the modified J–C model accounts for the combined impact of temperature and strain-rate, it may not yield accurate flow stress predictions. The current approach combines the strain-hardening parameter from the traditional J–C model with the modified J–C model's temperature and strain-rate effects into a novel J–C for better flow stress prediction. The average absolute relative error (AARE) and correlation coefficient (R) are determined. The traditional J–C model captured the plastic stress with 39% AARE and R-value of 0.87. However, the new J–C model’s prediction is within a 95% confidence band, with AARE and R values of 14% and 0.96, respectively.