Mathematical model of charging shape in bell- less blast furnace burden distribution

WANG Li- juan,ZHANG Bin,ZHANG Yong,CUI Gui- mei,SHI Lin

Journal of Iron and Steel Research ›› 2018, Vol. 30 ›› Issue (9) : 696-702.

Journal of Iron and Steel Research ›› 2018, Vol. 30 ›› Issue (9) : 696-702. DOI: 10. 13228/j.boyuan.issn1001- 0963. 20180036

Mathematical model of charging shape in bell- less blast furnace burden distribution

  • WANG Li- juan,ZHANG Bin,ZHANG Yong,CUI Gui- mei,SHI Lin
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Abstract

Burden distribution at the throat is the main factor affecting blast furnace iron- making productivity, gas flowing and furnace stable and smooth running. Burden distribution matrix is an operating variable in bell- less blast furnace burden distribution, which includes continuous variables and bounded discrete variables. Due to lack of process model, burden distribution matrix is often a constant matrix in practice. Moreover, the formulation and regulation of burden distribution matrix are still manually operated by the experienced foremen. The experience based operation mode can not adjust the operating status timely, which brings negative impact on the stable operation and the stability of the blast furnace. Subjected to the mass conservation, charging shape description and falling point function, the mathematical model description between burden distribution matrix and the charging shape in blast furnace charging process was studied. Finally, the developed mathematical model was tested by industrial data based examples. The results show that the model can effectively describe the relationship between burden distribution matrix and the top charging shape in the blast furnace charging system.

Key words

burden distribution / material surface shape / equivalent volume principle / burden distribution matrix

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WANG Li- juan,ZHANG Bin,ZHANG Yong,CUI Gui- mei,SHI Lin. Mathematical model of charging shape in bell- less blast furnace burden distribution[J]. Journal of Iron and Steel Research, 2018, 30(9): 696-702 https://doi.org/10. 13228/j.boyuan.issn1001- 0963. 20180036

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