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<p>To accurately monitor the meniscus velocity in continuous casting mold (CCM) and ensure slab quality, this study optimized and developed a liquid metal velocimetry based on the principle of Lorentz force velocimetry. By improving the cooling system and adding a liquid level gauge, the problems of short measurement cycle and large error of traditional methods under high temperature conditions were solved. Continuous online measurements were achieved for two ladles and three ladles of molten steel respectively at the 1/4 width of the 2300 × 360&#xa0;mm CCM. The relative error of the meniscus velocity measurement is 5.5 pct, which satisfies the accuracy requirements for industrial online monitoring. Experimental results show that the energy spectrum of the meniscus velocity decays as a power law with increasing frequency, with a fitting slope close to −&#xa0;5/3, which is consistent with Kolmogorov’s turbulence theory. The casting speed has the most significant influence on the flow velocity, which can cause fluctuations and direction reversal. The flow velocity increases when the argon flow rate rises significantly, while the influence of the tundish net mass is weak. This study provides reliable data for precise regulation of flow velocity and provides significant technical value for industrial process optimization.</p>

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Application of Liquid Metal Velocimetry in Online Monitoring of Continuous Casting Mold Meniscus

  • 期刊论文

  • 发表日期：

    2026年7月1日

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  • Shengrong Guo,
  • Guodong Xu,
  • Min Zhang,
  • Silong Li,
  • Xiaodong Wang

摘要

To accurately monitor the meniscus velocity in continuous casting mold (CCM) and ensure slab quality, this study optimized and developed a liquid metal velocimetry based on the principle of Lorentz force velocimetry. By improving the cooling system and adding a liquid level gauge, the problems of short measurement cycle and large error of traditional methods under high temperature conditions were solved. Continuous online measurements were achieved for two ladles and three ladles of molten steel respectively at the 1/4 width of the 2300 × 360 mm CCM. The relative error of the meniscus velocity measurement is 5.5 pct, which satisfies the accuracy requirements for industrial online monitoring. Experimental results show that the energy spectrum of the meniscus velocity decays as a power law with increasing frequency, with a fitting slope close to − 5/3, which is consistent with Kolmogorov’s turbulence theory. The casting speed has the most significant influence on the flow velocity, which can cause fluctuations and direction reversal. The flow velocity increases when the argon flow rate rises significantly, while the influence of the tundish net mass is weak. This study provides reliable data for precise regulation of flow velocity and provides significant technical value for industrial process optimization.