Process of ore blending optimization in sintering at home and abroad
Blast furnace is the key of energy saving and consumption reduction in global steel production.Ore blend-ing optimization in sintering is the core of reducing cost and consumption in blast furnace.At home and abroad,a lot of work has been done from iron ore characteristics,sinter pot test,and mathematical model.The cost of iron ore normal temperature characteristics is low,which is the most used method in domestic and foreign steel mills.How-ever,it is necessary to consider the influence of iron ore high temperature characteristics when the raw material condi-tions change greatly.The blending of iron ore through the characteristics can only meet the demand of ore blending in theory.The sinter pot test can verify the theoretical analysis results of iron ore characteristics and raw material technology,to avoid the large deviation of sintered mineral quality in actual production.The deficiency of sinter pot test lies in the high requirement of test equipment and the high cost of time and labor.In order to reduce the test cost and field work intensity,researchers combined theoretical analysis and field production conditions to develop optimi-zation models based on mathematical planning or intelligent algorithm.At present,the ore blending optimization model has little consideration for sintering process and high-temperature metallurgical properties,which limits the potential of cost reduction.The ore blending optimization in sintering is prospected from iron ore characteristics,sin-ter pot test and optimization model.Collect iron ore powder data and establish an iron ore powder data platform.Develop a dynamic evaluation method for iron ore powder that meets the raw materials and production conditions,reduce testing costs and achieve accurate evaluation of iron ore powder.Based on the iron ore characteristics and pro-duction conditions,design sintering pot test plans carefully.Obtain the most effective sintering cup test results with minimal time and labor costs.The focus of ore blending optimization model includes the efficient utilization of sinter-ing process and high-temperature metallurgical properties.Starting from the data and production conditions of iron production,a ore blending optimization model based on historical data such as raw material characteristics,sintering operation,room temperature and high temperature metallurgical performance of sinter,sintering-blast furnace state,etc.is constructed.Ultimately achieving stable sintering ore quality and reducing production costs through ore blend-ing optimization.
sinteringore blendingiron ore characteristicssinter pot testmathematical model
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