<p>DC04 steel is often used as a cold-rolled thin steel plate and is widely used in many fields. In order to establish the constitutive model of DC04 steel, a modified Johnson-Cook constitutive model (MJCCM) is put forward in this paper. The MJCCM incorporates revised strain rate and temperature terms to improve accuracy. To validate its strength prediction, stress-strain curves were calculated under temperatures of 20–200&#xa0;°C and strain rates of 0.00053&#xa0;s⁻¹ and 0.024&#xa0;s⁻¹. Comparative analysis with experimental data and other models confirmed that the MJCCM provides closer agreement with test results. What’s more, to assess the model’s thermomechanical coupling performance, tensile simulations were conducted under the same temperature and strain rate conditions. During this process, adaptive meshing was employed to optimize computational efficiency. Post-tensile temperature predictions from the MJCCM were compared with adiabatic heating calculations, showing superior accuracy. Fractography revealed temperature-dependent ductility loss: uniform dimples at 20&#xa0;°C transitioned to sparse dimples with ridge-like protrusions at 50–200&#xa0;°C, indicating progressive plasticity reduction. It provides a very detailed and accurate explanation from a microscopic perspective for the abnormal plastic behavior observed in the experiment, and verifies the experimental results. In conclusion, the MJCCM effectively charascterizes DC04 steel’s mechanical behavior, offering enhanced predictive capability for engineering applications.</p>

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Constitutive model and microscopic mechanism investigation of DC04 steel under thermal tensile conditions

  • Wenhao Wang,
  • Mingjun Xu,
  • Zhipeng Xing,
  • Runze Chen,
  • Wuzhu Yan,
  • Youshan Gao

摘要

DC04 steel is often used as a cold-rolled thin steel plate and is widely used in many fields. In order to establish the constitutive model of DC04 steel, a modified Johnson-Cook constitutive model (MJCCM) is put forward in this paper. The MJCCM incorporates revised strain rate and temperature terms to improve accuracy. To validate its strength prediction, stress-strain curves were calculated under temperatures of 20–200 °C and strain rates of 0.00053 s⁻¹ and 0.024 s⁻¹. Comparative analysis with experimental data and other models confirmed that the MJCCM provides closer agreement with test results. What’s more, to assess the model’s thermomechanical coupling performance, tensile simulations were conducted under the same temperature and strain rate conditions. During this process, adaptive meshing was employed to optimize computational efficiency. Post-tensile temperature predictions from the MJCCM were compared with adiabatic heating calculations, showing superior accuracy. Fractography revealed temperature-dependent ductility loss: uniform dimples at 20 °C transitioned to sparse dimples with ridge-like protrusions at 50–200 °C, indicating progressive plasticity reduction. It provides a very detailed and accurate explanation from a microscopic perspective for the abnormal plastic behavior observed in the experiment, and verifies the experimental results. In conclusion, the MJCCM effectively charascterizes DC04 steel’s mechanical behavior, offering enhanced predictive capability for engineering applications.