Ironmaking Process Parameter Analysis and Optimization for the Blast Furnace
With practical data of the BF ironmaking from Jiuquan Iron&Steel Cooperation Ltd.(JISC), taking the quality of pig iron as evaluation indicator, mathematical models based on the least square regression and partial least square regression were set up respectively by co-relation analysis of feeding-to-product interval of the BF processing. The calculation results showed that the reasonable description can be obtained by the partial least square regression model; and 10 of 29 parameters with obvious impact on the BF operation were listed accordingly. Meanwhile, an optimal group of parameters was found by genetic algorism calculation method. The optimal index of the group was 99.13% This study is beneficial to the improvement of feeding adjustment and optimal operation of BF ironmaking.
BF Partial least square regression Genetic algorithm Optimization
Shuang Ping Yang Yong Hui Song Liu Hua Xin
School of Metallurgical Engineering, Xian university of Architecture and Technology, Xian 710055,C School of Metallurgical Engineering,Xian university of Architecture and Technology, Xian 710055,Ch
国际会议
10th International Symposium on Eco-Materials Processing and Design(第10届国际生态材料加工与设计研讨会)
西安
英文
21-24
2009-01-13（万方平台首次上网日期，不代表论文的发表时间）