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<p>Controlling silicon (Si) content in hot metal (HM) is crucial in the blast furnace (BF) ironmaking process, as it serves as a key indicator of product quality and reflects the thermal state of the furnace. Low-Si smelting technology has attracted considerable attention, particularly for its potential to reduce production costs and improve product quality. In response to urgent industrial demand, this paper numerically investigates the in-furnace Si transfer mechanism in a 5000-m<sup>3</sup> industrial-scale BF by extending an existing BF process model to incorporate the Si-related reactions occurring in the lower part of the furnace. The extended model has been validated through: (1) good prediction of Si content in HM compared to on-site measurements; (2) consistent in-furnace Si and SiO distributions aligned with results from other BF models; and (3) observed trends of predicted Si content in response to variations in blast temperature and silica content in coke ash. Using this model, the inner states associated with Si transfer are revealed in accordance with the prediction of the final Si content in HM. In addition, to explore strategies for the low-Si production, different top burden distributions are examined. The results show that increasing coke charging in either the central or peripheral regions of the furnace lowers Si content, with the peripheral-developed burden distribution proving more effective. Under conditions of high blast temperature and high silica content in coke ash, this approach achieves Si content reductions of 41.06 and 28.89&#xa0;pct, respectively.</p>

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Numerical Simulation of Blast Furnace Ironmaking Process with Consideration of Silica Reduction

  • 期刊论文

  • 发表日期：

    2025年11月24日

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  • Yancong Liu,
  • Lulu Jiao,
  • Aibing Yu,
  • Shibo Kuang

摘要

Controlling silicon (Si) content in hot metal (HM) is crucial in the blast furnace (BF) ironmaking process, as it serves as a key indicator of product quality and reflects the thermal state of the furnace. Low-Si smelting technology has attracted considerable attention, particularly for its potential to reduce production costs and improve product quality. In response to urgent industrial demand, this paper numerically investigates the in-furnace Si transfer mechanism in a 5000-m3 industrial-scale BF by extending an existing BF process model to incorporate the Si-related reactions occurring in the lower part of the furnace. The extended model has been validated through: (1) good prediction of Si content in HM compared to on-site measurements; (2) consistent in-furnace Si and SiO distributions aligned with results from other BF models; and (3) observed trends of predicted Si content in response to variations in blast temperature and silica content in coke ash. Using this model, the inner states associated with Si transfer are revealed in accordance with the prediction of the final Si content in HM. In addition, to explore strategies for the low-Si production, different top burden distributions are examined. The results show that increasing coke charging in either the central or peripheral regions of the furnace lowers Si content, with the peripheral-developed burden distribution proving more effective. Under conditions of high blast temperature and high silica content in coke ash, this approach achieves Si content reductions of 41.06 and 28.89 pct, respectively.