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<p>During the continuous casting process, the surface quality of the cast blank is significantly influenced by the heat transfer stability of the mold, where the interfacial metallurgical behavior of the mold flux is critical to this heat transfer process. Given the complex and multivariable coupled nature of mold heat transfer, existing online temperature monitoring signals inevitably mix with substantial process background noise. Furthermore, current research predominantly focuses on the direct observation of macroscopic surface data, often neglecting the underlying analysis of the thermal control state of the mold flux hidden behind these signals. To overcome this limitation and conduct an in-depth analysis of the actual behavior of mold flux, this study proposes an evaluation method for the thermal control behavior of mold flux based on the residual sequence analysis of cooling water temperature differences in the continuous casting mold. The Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model is introduced to decouple the dynamic interference of external process conditions on the cooling water temperature difference, thereby extracting a temperature residual sequence capable of characterizing the overall thermal control stability of the mold flux. The study reveals a significant mapping relationship between the extracted residual fluctuation characteristics and the behavioral features of the mold flux. Compared to Flux 1 (viscosity 0.86 Pa&#xa0;s, crystallization fraction 71.7 pct), Flux 2 (viscosity 0.50 Pa&#xa0;s, crystallization fraction 79.88 pct) effectively reduces the residual standard deviation from the range of 0.046 ~ 0.055 to 0.038 ~ 0.042, reflecting a more stable and uniform slag film filling. Furthermore, the continuous wavelet transform (CWT) is employed to further resolve its time frequency evolution patterns. This enables a refined insight into the actual heat transfer control status of the mold flux from the macroscopic overall sequence to the resolved spectra of individual frequency bands, strongly suggesting the presence of a dynamic renewal mechanism progressing sequentially through slag film crystallization, detachment, liquid slag filling, and recrystallization fostered by different viscosity and crystallization characteristics. Furthermore, production data confirm that utilizing the mold flux with smaller residual fluctuations (Flux 2) resulted in a 10.5 pct reduction in the surface crack rate of the rolled materials. This method provides a reliable reference method for quantitatively evaluating the overall thermal control stability of the mold and assessing the cracking susceptibility of the cast blank.</p>

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Study on Thermal Control Stability of Mold Flux Based on Residual Characteristics of Cooling Water Temperature Difference in Continuous Casting Molds

  • 期刊论文

  • 发表日期：

    2026年6月16日

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  • Aihua Zhao,
  • Zibing Hou,
  • Zhanpeng Xie,
  • Qiuping Li,
  • Qiang Liu,
  • Ping Tang,
  • Guanghua Wen

摘要

During the continuous casting process, the surface quality of the cast blank is significantly influenced by the heat transfer stability of the mold, where the interfacial metallurgical behavior of the mold flux is critical to this heat transfer process. Given the complex and multivariable coupled nature of mold heat transfer, existing online temperature monitoring signals inevitably mix with substantial process background noise. Furthermore, current research predominantly focuses on the direct observation of macroscopic surface data, often neglecting the underlying analysis of the thermal control state of the mold flux hidden behind these signals. To overcome this limitation and conduct an in-depth analysis of the actual behavior of mold flux, this study proposes an evaluation method for the thermal control behavior of mold flux based on the residual sequence analysis of cooling water temperature differences in the continuous casting mold. The Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model is introduced to decouple the dynamic interference of external process conditions on the cooling water temperature difference, thereby extracting a temperature residual sequence capable of characterizing the overall thermal control stability of the mold flux. The study reveals a significant mapping relationship between the extracted residual fluctuation characteristics and the behavioral features of the mold flux. Compared to Flux 1 (viscosity 0.86 Pa s, crystallization fraction 71.7 pct), Flux 2 (viscosity 0.50 Pa s, crystallization fraction 79.88 pct) effectively reduces the residual standard deviation from the range of 0.046 ~ 0.055 to 0.038 ~ 0.042, reflecting a more stable and uniform slag film filling. Furthermore, the continuous wavelet transform (CWT) is employed to further resolve its time frequency evolution patterns. This enables a refined insight into the actual heat transfer control status of the mold flux from the macroscopic overall sequence to the resolved spectra of individual frequency bands, strongly suggesting the presence of a dynamic renewal mechanism progressing sequentially through slag film crystallization, detachment, liquid slag filling, and recrystallization fostered by different viscosity and crystallization characteristics. Furthermore, production data confirm that utilizing the mold flux with smaller residual fluctuations (Flux 2) resulted in a 10.5 pct reduction in the surface crack rate of the rolled materials. This method provides a reliable reference method for quantitatively evaluating the overall thermal control stability of the mold and assessing the cracking susceptibility of the cast blank.