Optimization of sintering ore blending by response surface-satisfaction function method
BAO Guoying1, LIU Lei1, HAN Xiuli1, DUAN Bowen1, QIN Liwen1, LIU Yingying2
1. College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China; 2. College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, Hebei, China
Abstract：The effect of sintering ore blending directly affects the quality and cost of sinter, and even affects the technical and economic indicators of blast furnace smelting. In order to explore the comprehensive relationship between raw material composition ratio and multi-index of sinter quality, an optimization method of sinter raw material blending based on response surface-satisfaction function method was proposed. The response surface method Box-Behnken design(RSM-BBD) was used to establish the response surface regression model with the mass percent of magnesium oxide w(MgO), the mass percent of alumina w(Al2O3) and the basicity R as independent variables, and the quality indexes such as low temperature reduction degradation index, porosity and calcium ferrite content as dependent variables. The effects of three factors and their interactions on the quality indexes such as low temperature reduction degradation index, porosity and calcium ferrite content of hematite sinter were studied respectively. On this basis, combined with the satisfaction multi-objective optimization method, the response surface Box-Behnken overall satisfaction function model (RSM-BBD-DFA) was constructed to optimize the sintering ore blending with the overall satisfaction of low temperature reduction degradation index, porosity and calcium ferrite content as the goal. The results showed that the influence of each factor on the low temperature reduction degradation index and calcium ferrite content was w(MgO)>R>w(Al2O3), and the influence on porosity was w(Al2O3)>R>w(MgO). The interaction between w(Al2O3) and basicity R has a significant effect on the low temperature reduction degradation index of sinter. The interaction between w(Al2O3) and basicity R has a significant effect on the porosity and calcium ferrite content. The effects of w(MgO), w (Al2O3) and basicity R on the overall satisfaction of sinter quality are extremely significant, and the order of influence is basicity R>w(Al2O3)>w(MgO). The optimal raw material ratio w(MgO) is 2.07%, w(Al2O3) is 1.96%, and the basicity R is 2.14. Based on the prediction formula and test of the overall satisfaction of sinter quality, the actual value (0.88) and the predicted value (0.90) of the overall satisfaction of sinter quality under the optimal raw material ratio are obtained.
包国营, 刘磊, 韩秀丽, 段博文, 钦礼文, 刘盈盈. 响应面-满意度函数法优化烧结配矿[J]. 钢铁, 2023, 58(8): 41-50.
BAO Guoying, LIU Lei, HAN Xiuli, DUAN Bowen, QIN Liwen, LIU Yingying. Optimization of sintering ore blending by response surface-satisfaction function method[J]. Iron and Steel, 2023, 58(8): 41-50.
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2023, Vol. 58 
