Research On Optimization Of Iron Ore Blending Based On Basic Sintering Characteristics

Sintering and agglomeration-blast furnace smelting is the main process of iron production in China.In the blast furnace production process,sintering ore accounts for about 78%of the blast furnace.The change of raw materials for sintering requires more rapid and accurate optimization of the ore blending model,and the basic sintering characteristics of iron ore powder are important prerequisites for sintering to optimize the ore blending.Due to the different types and basic sintering characteristics of various iron ore,the interaction and cross-effects between the ore powders make the ore blending problem a strong nonlinear characteristic.Therefore,there is an urgent need to study the basic sintering characteristics of single ore and mixed ore.Through experimental research,the basic sintering characteristics of single and mixture commonly used in cooperative enterprises are studied,and the basic sintering characteristics of single and mixture are evaluated.The relationship between the basic characteristics of single and mixed sintering is established.Prediction model of basic sintering characteristics are built to determine the reasonable ore ratio for sintering production of cooperative iron and steel enterprises and provide references for on-site sintering production.The research on sintering ore matching based on the basic characteristics of sintering is of great significance for steel enterprises to improve sintering process indicators,reduce production costs,and improve sintering ore quality.The following conclusions are obtained through research:(1)The basic sintering characteristics of different iron ore powders are different.Among the 7 different kinds of ore powders,the assimilation temperatures of Siying Ore and South African Ore are poor,and the assimilation temperature is as high as 1290 ?.The liquid fluidity of Baka Ore,Newman Ore,and South African Ore is low.while the liquid fluidity of Yanshan Ore is high,and the liquidity index is as high as 4.97.The bonding strength and crystal strength of the seven iron ore meet the requirements of sintering production.The properties of calcium ferrite generation of different iron ore powders are also different.Yigang Ore and Qiufen Ore have better calcium ferrite generation while the South African Ore has poor calcium ferrite generation.(2)The basic sintering characteristics of different iron ore are quite different.Optimized ore blending adjustments are required to ensure that the basic sintering characteristics of the mixed sinter are within a suitable range.The change of the ratio of single iron ore powder has different effects on the basic sintering characteristics.The models of the correlation between different ratios of iron ore powder and the basic sintering characteristics of mixture are built,which provides a foundation for optimizing the ore blending.Based on the relationship between the single and the mixed,some measures for optimizing ore blending are proposed.For verification,it is recommended to use less South African Ore and Yigang Ore(3)Based on the analysis of the relationship between the data of basic sintering characteristics and the data of metallurgical properties,MATLAB and XGBoost are used to establish an optimized ore blending model based on basic sintering characteristics.Assimilation temperature of the basic sintering characteristics acts as the main factor affecting the prediction results.The predicted value of the model is in good correspondence with the measured data of sinter pot,the predicted result is of high accuracy and small relative error value,which proves that the sinter optimized ore blending model has good reliability and accuracy.It also provides the reference for optimized ore blending in the steel enterprises.