Optimization of sinter reduction index based on response surface method
The reduction index of sinter is an important parameter affecting the production of blast furnace,and the sintering raw materials and their ratio are one of the fundamental reasons for determining the reduction performance of sinter.In this paper,the response surface method is used to optimize the reduction index of sinter,and the CCD module is used to design the ore blending scheme of sinter.With w(Fe2O3)/w(Fe3O4),binary basicity[w(CaO)/w(SiO2)]and w(MgO)/w(Al2O3)as variable factors,the reduction index of sinter is taken as the target index.The response surface model between target index and variable factor is established.By fitting the response surface model through experiments,the prediction equation of sinter reduction index is obtained.According to the optimal ratio of raw material composition determined by the prediction model,the prediction model is verified.The results show that the significant effects of the three raw materials on the reduction index of sinter are as follows:binary basicity[w(CaO)/w(SiO2)],w(MgO)/w(Al2O3),w(Fe2O3)/w(Fe3O4),and the interaction of any two factors among the three is obvious.When the reduction index of sinter is optimal,the raw material ratio is:w(Fe2 O3)/w(Fe3 O4)=0.76,binary basicity[w(CaO)/w(SiO2)]=2.23,w(MgO)/w(Al2O3)=0.82.Through the sintering test,the predicted reduction index value of sinter is 92.41％,the test value is 92.1％,and the content of aciculate calcium ferrite in sinter is more,and the microstructure is better,reflecting that the optimal ratio scheme determined by the response surface method is accurate and feasible.
sintering ore blendingresponse surface methodtarget optimizationinteractionreduction index
万方数据
维普
