Journal
STEEL RESEARCH INTERNATIONAL
Volume 85, Issue 4, Pages 599-606Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/srin.201300194
Keywords
BOF; dephosphorization process; thermodynamic analysis; multi-level recursive; prediction model
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Funding
- National Science Foundation Committee of China under the National Natural Science Foundation [50874014]
- Ministry of Education of China under the National Natural Science Foundation [50874014]
- Jiangxi Provincial Department of Science and Technology (China) under the National Natural Science Foundation [50874014]
- Ministry of Education of China [20120006110036]
- Project of Provincial Program of Science and Technology of Jiangxi Province [2011ZBBH80010]
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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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