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The Control and Prediction of End-Point Phosphorus Content during BOF Steelmaking Process

Authors

  • Zhou Wang,

    1. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing, P. R. China
    2. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, P. R. China
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  • Feiming Xie,

    1. Fangda Special Steel Technology Co., Ltd., Nanchang, Jiangxi Province, P. R. China
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  • Bin Wang,

    1. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing, P. R. China
    2. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, P. R. China
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  • Qing Liu,

    Corresponding author
    1. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing, P. R. China
    2. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, P. R. China
    • State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, No. 30 Xueyuan Road, Beijing100083P. R. China

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  • Xinchun Lu,

    1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, P. R. China
    2. Fangda Special Steel Technology Co., Ltd., Nanchang, Jiangxi Province, P. R. China
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  • Lining Hu,

    1. Xingtai Iron and Steel Co., Ltd., Xingtai, Hebei Province, P. R. China
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  • Fei Cai

    1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, P. R. China
    2. Xuanhua Iron and Steel Group Co., Ltd., Zhangjiakou, Hebei Province, P. R. China
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Abstract

Removal of phosphorus is a reaction, which plays an important role in combined converter steelmaking process, and the precise control of end-point phosphorus content during BOF steelmaking process would greatly improve the quality of liquid steel. Therefore, the relation between dephosphorization ratio and temperature of liquid steel, FeO content of slag, slag basicity is clearly clarified through thermodynamic analysis of dephosphorization process in this paper. Besides, by means of combining the methods of multivariate regression analysis and multi-level recursive completely, the multi-level recursive regression model, which is used to complete the prediction of end-point phosphorus content during BOF steelmaking process, is established based on large amount of production data. The verification of the model with the data taken from three steel plants indicates that the hit rate of the multi-level recursive regression model is above 84% when predictive errors of the model are within ±0.005%, and it could provide a relatively good reference for real production.

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