Ironmaking Process Parameter Analysis and Optimization for the Blast Furnace

Shuang Ping Yang; Yong Hui Song; Liu Hua Xin

doi:10.4028/www.scientific.net/MSF.620-622.21

Paper Titles

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Evaluations of Hydrogen Properties on MgH_x-Nb₂O₅ Composite by Mechanical Alloying
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Synthesis, Characterization and Electrochemical Performance of Li₂Mn_0.7Fe_0.3SiO₄ Prepared from Solid-state Reaction
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Ironmaking Process Parameter Analysis and Optimization for the Blast Furnace
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Evaluations of Hydrogen Permeation on γ-Al₂O₃ Synthesized by Sol-Gel Process
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Porous TiO₂ Layer Encapsulated Silicon as the Anode Material for Lithium Secondary Batteries
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Effect of SiC on Microstructures and Properties of Cordierite-Mullite Multiphase Ceramics Material
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Development of an Automated Design System for Oil Pumps with Multiple Profiles (Circle, Ellipse and Involute)
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HomeMaterials Science ForumMaterials Science Forum Vols. 620-622Ironmaking Process Parameter Analysis and...

Ironmaking Process Parameter Analysis and Optimization for the Blast Furnace

Abstract:

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.