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<p>This study addresses the challenge of optimizing molten steel flow in the mold, a critical factor for slab quality in continuous casting. Traditional methods, relying on numerical simulation and empirical parameters, often lack reliable on-site validation under the coupled effects of key operational parameters: casting speed, submerged entry nozzle (SEN) depth, and argon gas flow rate. Focusing on an 890&#xa0;mm × 200&#xa0;mm cross-section casting process, this research integrates numerical simulation with an on-site nail-board testing technique. This combined methodology systematically investigates how these three parameters affect mold flow-field morphology and meniscus behavior. The study clarifies their quantitative impact on flow structure (single vs. double roll) and meniscus stability, identifying the optimal combination for this specific cross-section: a casting speed of 1.4&#xa0;m/min, an SEN depth of 150&#xa0;mm, and an argon flow rate of 5 NL/min. This regime establishes a stable double-roll flow, balancing meniscus activity with minimized slag entrapment risk. The primary innovation lies in employing the nail-board test for empirical validation, creating a closed-loop verification framework from simulation to practice. This approach provides a data-driven pathway for advancing continuous casting control from empirical practice toward precision optimization, offering significant theoretical value and promising engineering application prospects.</p>

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Mold Flow Field Optimization in Continuous Casting of 890 mm × 200 mm Section Slab

  • 期刊论文

  • 发表日期：

    2026年5月27日

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  • Shujun Li,
  • Xiangming Jia,
  • Chao Pan

摘要

This study addresses the challenge of optimizing molten steel flow in the mold, a critical factor for slab quality in continuous casting. Traditional methods, relying on numerical simulation and empirical parameters, often lack reliable on-site validation under the coupled effects of key operational parameters: casting speed, submerged entry nozzle (SEN) depth, and argon gas flow rate. Focusing on an 890 mm × 200 mm cross-section casting process, this research integrates numerical simulation with an on-site nail-board testing technique. This combined methodology systematically investigates how these three parameters affect mold flow-field morphology and meniscus behavior. The study clarifies their quantitative impact on flow structure (single vs. double roll) and meniscus stability, identifying the optimal combination for this specific cross-section: a casting speed of 1.4 m/min, an SEN depth of 150 mm, and an argon flow rate of 5 NL/min. This regime establishes a stable double-roll flow, balancing meniscus activity with minimized slag entrapment risk. The primary innovation lies in employing the nail-board test for empirical validation, creating a closed-loop verification framework from simulation to practice. This approach provides a data-driven pathway for advancing continuous casting control from empirical practice toward precision optimization, offering significant theoretical value and promising engineering application prospects.