国内外烧结优化配矿研究进展  

Process of ore blending optimization in sintering at home and abroad

作　　者：唐珏 王茗玉 储满生 石泉 张振 TANG Jue;WANG Mingyu;CHU Mansheng;SHI Quan;ZHANG Zhen(School of Metallurgy,Northeastern University,Shenyang 110819,Liaoning,China;Engineering Research Center of Frontier Technologies for Low-Carbon Steelmaking(Ministry of Education),Shenyang 110819,Liaoning,China)

机构地区：[1]东北大学冶金学院,辽宁沈阳110819 [2]低碳钢铁前沿技术教育部工程研究中心,辽宁沈阳110819

出　　处：《钢铁》2024年第9期102-113,共12页Iron and Steel

基　　金：国家自然科学基金资助项目(52274326);中国宝武低碳冶金创新基金资助项目(BWLCF202109)。

摘　　要：高炉工序是全球钢铁生产节能降耗的重点工序。烧结优化配矿是高炉炼铁降本降耗的核心。国内外研究从铁矿粉特性、烧结杯试验、数学模型等多个角度进行了大量的工作。铁矿粉常温特性获取成本低,是国内外钢厂实际使用最多的方法,但在原料条件变化大的情况下还需要考虑铁矿粉高温特性对烧结配矿的影响。通过铁矿粉特性进行矿粉搭配,仅在理论上满足了配矿需求,而烧结杯试验可以对铁矿粉性质或烧结原料工艺的理论分析结果进行有效验证,避免实际生产中的烧结矿产质量出现较大的偏差。烧结杯试验的不足在于试验设备要求高,时间及人力成本高。为了降低试验成本与现场工作强度,研究者们结合理论分析与现场生产条件,开发了基于数学规划或智能算法的烧结优化配矿模型。目前的烧结优化配矿模型对烧结工艺以及烧结矿高温冶金性能考虑少,限制了模型的降本潜力。从铁矿粉特性、烧结杯试验、烧结优化配矿模型构建等方面对烧结优化配矿技术进行了展望。收集大量铁矿粉数据并建立铁矿粉数据平台,开发符合原料与生产条件的铁矿粉动态评价方法,减少试验成本并实现铁矿粉的准确评价。在铁矿粉特性与现场实际生产等数据基础上,精心设计烧结杯配矿试验方案,在最小的时间人力成本下获得最有效的烧结杯试验研究结果。烧结优化配矿模型的研究重点包括烧结工艺与烧结矿高温冶金性能的高效利用。从钢铁厂铁前系统数据与生产条件出发,构建基于现场烧结原料特性、烧结操作、烧结矿常温与高温冶金性能、烧结-高炉状态等历史数据的烧结优化配矿模型,最终实现稳定烧结矿质量并降低生产成本的烧结优化配矿。Blast furnace is the key of energy saving and consumption reduction in global steel production.Ore blending 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.However,it is necessary to consider the influence of iron ore high temperature characteristics when the raw material conditions 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 optimization 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,sinter 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 production 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 effic

关 键 词：烧结 配矿 铁矿粉特性 烧结杯 数学模型 

分 类 号：TF046.4[冶金工程—冶金物理化学]