LAPSE:2020.0384
Published Article
LAPSE:2020.0384
A Mathematical Model Combined with Radar Data for Bell-Less Charging of a Blast Furnace
Meng Li, Han Wei, Yao Ge, Guocai Xiao, Yaowei Yu
April 14, 2020
Charging directly affects the burden distribution of a blast furnace, which determines the gas distribution in the shaft of the furnace. Adjusting the charging can improve the distribution of the gas flow, increase the gas utilization efficiency of the furnace, reduce energy consumption, and prolong the life of the blast furnace. In this paper, a mathematical model of blast furnace charging was developed and applied on a steel plant in China, which includes the display of the burden profile, burden layers, descent speed of the layers, and ore/coke ratio. Furthermore, the mathematical model is developed to combine the radar data of the burden profile. The above model is currently used in Nanjing Steel as a reference for operators to adjust the charging. The model is being tested with a radar system on the blast furnace.
Keywords
blast furnace, burden distribution, charging system, mathematical model, radar data
Suggested Citation
Li M, Wei H, Ge Y, Xiao G, Yu Y. A Mathematical Model Combined with Radar Data for Bell-Less Charging of a Blast Furnace. (2020). LAPSE:2020.0384
Author Affiliations
Li M: State Key Laboratory of Advanced Special Steel, Shanghai Key Laboratory of Advanced Ferrometallurgy, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China [ORCID]
Wei H: State Key Laboratory of Advanced Special Steel, Shanghai Key Laboratory of Advanced Ferrometallurgy, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
Ge Y: State Key Laboratory of Advanced Special Steel, Shanghai Key Laboratory of Advanced Ferrometallurgy, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
Xiao G: Jinheng Information Technology Company, Jiangsu Province, Nanjing 210035, China
Yu Y: State Key Laboratory of Advanced Special Steel, Shanghai Key Laboratory of Advanced Ferrometallurgy, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
Journal Name
Processes
Volume
8
Issue
2
Article Number
E239
Year
2020
Publication Date
2020-02-20
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8020239, Publication Type: Journal Article
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LAPSE:2020.0384
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doi:10.3390/pr8020239
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Apr 14, 2020
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CC BY 4.0
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Apr 14, 2020
 
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Calvin Tsay
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