Ironmaking Process Parameter Analysis and Optimization for the Blast Furnace

摘要

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.