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<p>The mechanical properties of rebar steel are largely determined by its microstructural evolution during the cooling process, particularly the phase transformation kinetics. To gain deeper insight into and improve the predictive understanding of such behavior, this study investigates the isothermal phase transformation kinetics of HRB400 rebar steel. The Continuous Cooling Transformation (CCT) diagram was first calculated using JMatPro software to identify the transformation regions for ferrite, pearlite, and bainite. Subsequently, isothermal transformation experiments were conducted using a Gleeble-3800 thermal simulation system, and the resulting microstructures were quantitatively characterized using optical microscopy and image analysis software. Transformation volume fractions were measured at various isothermal temperatures and holding times. The Avrami equation was then employed to establish kinetic models for each transformation. Furthermore, a Gaussian fitting function was used to describe the relationship between the kinetic coefficient <i>lnk</i> and temperature (<i>T</i>), enabling predictive modeling of transformation behavior. Compared with existing studies, the proposed models more accurately capture the diffusion-controlled transformation characteristics of pearlite in HRB400 steel.</p>

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Research on Isothermal Phase Transformation Kinetics of HRB400 Rebar Steel

  • 期刊论文

  • 发表日期：

    2026年1月9日

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  • Yanting Liu,
  • Yaqiang Li,
  • Yaoli Ji,
  • Nuonuo Xing,
  • Xuefeng Peng,
  • Yanyan Zhang,
  • Yuxi Liu,
  • Tianyu Zhang,
  • Yiming Liu

摘要

The mechanical properties of rebar steel are largely determined by its microstructural evolution during the cooling process, particularly the phase transformation kinetics. To gain deeper insight into and improve the predictive understanding of such behavior, this study investigates the isothermal phase transformation kinetics of HRB400 rebar steel. The Continuous Cooling Transformation (CCT) diagram was first calculated using JMatPro software to identify the transformation regions for ferrite, pearlite, and bainite. Subsequently, isothermal transformation experiments were conducted using a Gleeble-3800 thermal simulation system, and the resulting microstructures were quantitatively characterized using optical microscopy and image analysis software. Transformation volume fractions were measured at various isothermal temperatures and holding times. The Avrami equation was then employed to establish kinetic models for each transformation. Furthermore, a Gaussian fitting function was used to describe the relationship between the kinetic coefficient lnk and temperature (T), enabling predictive modeling of transformation behavior. Compared with existing studies, the proposed models more accurately capture the diffusion-controlled transformation characteristics of pearlite in HRB400 steel.