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Guang-hui Li, Bao Wang, Qing Liu, Xin-zhong Tian, Rong Zhu, Li-ning Hu, and Guo-guang Cheng, A process model for BOF process based on bath mixing degree, Int. J. Miner. Metall. Mater., 17(2010), No. 6, pp.715-722. https://dx.doi.org/10.1007/s12613-010-0379-4
Guang-hui Li, Bao Wang, Qing Liu, Xin-zhong Tian, Rong Zhu, Li-ning Hu, and Guo-guang Cheng, A process model for BOF process based on bath mixing degree, Int. J. Miner. Metall. Mater., 17(2010), No. 6, pp.715-722. https://dx.doi.org/10.1007/s12613-010-0379-4
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A process model for BOF process based on bath mixing degree

摘要: The process model for BOF process can be applied to predict the liquid steel composition and bath temperature during the whole steelmaking process. On the basis of the traditional three-stage decarburization theory, the concept of mixing degree was put forward, which was used to indicate the effect of oxygen jet on decarburization. Furthermore, a more practical process model for BOF steelmaking was developed by analyzing the effect of silicon, manganese, oxygen injection rate, oxygen lance height, and bath temperature on decarburization. Process verification and end-point verification for the process model have been carried out, and the verification results show that the prediction accuracy of carbon content reaches 82.6% (the range of carbon content at the end-point is less than 0.1wt%) and 85.7% (the range of carbon content at end-point is 0.1wt%–0.7wt%) when the absolute error is less than 0.02wt% and 0.05wt%, respectively.

 

A process model for BOF process based on bath mixing degree

Abstract: The process model for BOF process can be applied to predict the liquid steel composition and bath temperature during the whole steelmaking process. On the basis of the traditional three-stage decarburization theory, the concept of mixing degree was put forward, which was used to indicate the effect of oxygen jet on decarburization. Furthermore, a more practical process model for BOF steelmaking was developed by analyzing the effect of silicon, manganese, oxygen injection rate, oxygen lance height, and bath temperature on decarburization. Process verification and end-point verification for the process model have been carried out, and the verification results show that the prediction accuracy of carbon content reaches 82.6% (the range of carbon content at the end-point is less than 0.1wt%) and 85.7% (the range of carbon content at end-point is 0.1wt%–0.7wt%) when the absolute error is less than 0.02wt% and 0.05wt%, respectively.

 

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