Sintered pore optimization based on response surface method
YI Zheng-ming1,2, LIU Qiang1,2, QIN Jia-zhuo1,2, NIE Li3, DU Dong3, ZHANG Dong-sheng3
1. Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; 2. National-provincial Joint Engineering Research Center of High Temperature Materials and Lining Technology, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; 3. Iron Coke Division, Shuicheng Iron and Steel Group Co., Ltd., Liupanshui 553000, Guizhou, China
Abstract：Based on the actual process parameters of sintering production, the response surface method was used to optimize the sinter porosity. The mathematical model was established with the design variables of basicity (A), fuel ratio (B) and fuel granularity (C), and objective functions of porosity (Y1) and drum index (Y2), to carry out the optimization design analysis of three factors. The results show that basicity and fuel ratio have the most significant influence on porosity and drum index, while the influence of fuel particle size is less significant. The interaction between basicity and fuel ratio, fuel ratio and fuel size are obvious. Through the analysis of experimental results, a binomial model of porosity and drum index of sinter was established. The optimal sintering parameters predicted by the model were basicity value of 2.15, fuel particle size (<3 mm particles proportion) of 71.19% and fuel ratio of 5.50%. Industrial experiments were carried out under these optimal sintering parameters. The results show that the porosity of sinter is reduced to 20.07%, the drum index is increased to 78.43%, and the porosity is reduced by 1.85% and the drum index is increased by 3.26% compared with before optimization.
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2022, Vol. 32 
