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<p>Meta-dynamic recrystallization (MDRX) is a critical phenomenon influencing the properties and quality of hot-rolled steels. It governs the material’s softening behavior, which, in turn, directly affects the ductility and workability of the plates. However, the mechanisms underlying the microstructural evolution associated with MDRX are not yet fully understood. The present work investigates the effects of hot deformation conditions on MDRX behavior in a hot-rolled high-strength low-alloy (HSLA) steel using multi-pass compression tests. The results demonstrated that the recrystallization fraction increased significantly with increasing temperatures and prolonged inter-pass time. Additionally, high strain rates were found to increase the recrystallization fraction. Moreover, refined grains exhibited a uniform distribution only when deformation was performed below 1050°C. Both a physics-based model and a machine learning (ML) model were developed for the quantitative prediction of MDRX in the investigated HSLA steel. The ML model exhibited superior predictive accuracy to the physics-based counterpart, achieving a mean squared error (MSE) of 0.0023, a mean absolute percentage error (MAPE) of 0.0485 and a coefficient of determination (<i>R</i><sup>2</sup>) of 0.9439. This work provides crucial insights into the microstructural evolution controlled by MDRX, facilitating the optimization of process design to produce high-quality hot-rolled HSLA steel plates.</p>

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Inter-pass Meta-Dynamic Recrystallization in HSLA Steel during Two-Pass Deformation: Experimental Investigations and Predictions

  • 期刊论文

  • 发表日期：

    2025年12月15日

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  • Rong Ran,
  • Min Zhou,
  • Huiquan Han,
  • Gang Fang

摘要

Meta-dynamic recrystallization (MDRX) is a critical phenomenon influencing the properties and quality of hot-rolled steels. It governs the material’s softening behavior, which, in turn, directly affects the ductility and workability of the plates. However, the mechanisms underlying the microstructural evolution associated with MDRX are not yet fully understood. The present work investigates the effects of hot deformation conditions on MDRX behavior in a hot-rolled high-strength low-alloy (HSLA) steel using multi-pass compression tests. The results demonstrated that the recrystallization fraction increased significantly with increasing temperatures and prolonged inter-pass time. Additionally, high strain rates were found to increase the recrystallization fraction. Moreover, refined grains exhibited a uniform distribution only when deformation was performed below 1050°C. Both a physics-based model and a machine learning (ML) model were developed for the quantitative prediction of MDRX in the investigated HSLA steel. The ML model exhibited superior predictive accuracy to the physics-based counterpart, achieving a mean squared error (MSE) of 0.0023, a mean absolute percentage error (MAPE) of 0.0485 and a coefficient of determination (R2) of 0.9439. This work provides crucial insights into the microstructural evolution controlled by MDRX, facilitating the optimization of process design to produce high-quality hot-rolled HSLA steel plates.