Fuzzy Prediction of Molten Iron Silicon Content in BF Based on Hierarchical System

Author(s):  
Qihui Li
2014 ◽  
Vol 881-883 ◽  
pp. 1762-1767
Author(s):  
Qi Hui Li

A hierarchical fuzzy system model is presented based on data driving, and then, the model is used to predict the molten iron silicon content in BF. As input variables this model uses the control parameters of a current BF such as moisture, pulverized coal injection, oxygen addition, coke ratio etc. And variables employed to develop the model have been obtained from data collected online from Blast Furnace of Baotou Steel plant. This paper utilizes the fuzzy clustering algorithm combined nearest neighbor clustering and fuzzy c-means clustering to classify the input space. The simulation and error results show that the prediction based on hierarchical fuzzy model and data-driven method has good approximation and fit the output characteristics of the system. The most important point is that the number of fuzzy rules is greatly reduced.


Author(s):  
Junpeng Li ◽  
Xiaofei Wei ◽  
Changchun Hua ◽  
Yana Yang ◽  
Limin Zhang

2019 ◽  
Vol 38 (2019) ◽  
pp. 143-150
Author(s):  
Yong Deng ◽  
Jianliang Zhang ◽  
Kexin Jiao

AbstractIn order to improve the reduction rate of titania in molten iron, various iron powders containing C, Si, Mn and S were melted. The experiments were carried out on the reduction of titania through a high-temperature tube furnace at 1,723–1,823 K. The quantitative effects of C, Si, Mn, S and temperature on the reduction of titania were investigated in the current study. The results demonstrated that when the carbon content, the manganese content and the temperature increased by 1 %, 0.1 % and 100 K, the reduction rate increased by 0.008 %/h, 0.001125 %/h and 0.0235 %/h, respectively; when the sulfur content increased by 0.01 %, the reduction rate decreased by 0.004875 %/h; the reduction rate was irregular with the change of silicon content in molten iron. The phase at the reaction interface after the experiment was confirmed to be the Fe2Ti3O9 which was considered to be the combination product between iron oxide and titania; the lower titanium oxides were unstable and hard to be observed. The reduction was affected by the concentration of various elements in molten iron and the activity interaction coefficients between various elements. The rate constants for reduction were calculated at 1,723 K, 1,773 K and 1,823 K; the apparent activation energy was calculated as 209 kJ/mol through the rate constants and temperatures according to the Arrhenius equation.


2006 ◽  
Vol 55 (7) ◽  
pp. 3343
Author(s):  
Luo Shi-Hua ◽  
Liu Xiang-Guan

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