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Application of fuzzy causal classification model for forecasting coke ratio in blast furnace
Hao, Xiao-Jing (1); Du, Gang (2); Xie, Zhi (1); Shen, Feng-Man (2)
2005, 26 (4):
261-264.
DOI: -
By means of path analysis, the data collected in situ were processed. Among the variables given to describe blast furnace system, the main variable influencing factors on objective function were determined according to the minimum remaining path coefficient. The relation among those factors was simplified and classified into two groups, i.e., direct paths and indirect paths, then they were ranked to find out the influenced objective functions, i.e., the direct and indirect paths to coke ratio. Analyzing comprehensively the effects of the two paths, a conclusion is drawn that the furnace roof temperature, batch weight, ore weight, coke burden and [Si] are not only the direct influencing factors, but also the indirect influencing factors on coke ratio.
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