1. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China; 2. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
Abstract：With the continuous consumption of iron ore resources, the qualities of iron ores are deteriorating, and a large number of new iron ore appear, making the demand for ore blending optimization of sinter process more urgent. Therefore, the basic characteristics of iron ores at room temperature and high temperature are mainly introduced in this paper. The room temperature characteristics mainly include chemical composition, type of iron ore and particle size distribution. At the same time, high temperature characteristic indicators that are closely related to sintering production are analyzed in this paper, which mainly including the assimilation, liquid phase fluidity, bonding strength, calcium ferrite generation characteristics, crystal joint characteristics, melting characteristic, liquid absorption and consolidation strength of sintered body. Their definitions, meanings and measurement methods are introduced respectively. The development history of ore blending optimization technology is then introduced from the ore blending exploration stage to ore blending based on room temperature characteristics and then to ore blending based on the complementation of high temperature characteristics. The iron ore blending expert system model and its application in actual production are illustrated. It is indicated that the expert system model of ore blending optimization can efficiently guide the ore blending in sinter process, reduce the cost of sintering raw materials, and obtain better sintering production and quality indexes. Furthermore, the paper summarizes the ore blending optimization technology of iron ore sintering, and points out the bottlenecks and shortcomings that still exist, which are including that the standards and index system of high temperature characteristics of iron ore sintering are not yet perfect, there is a lack of quantitative relationship between the basic characteristics of iron ore and the quality of sintered ore, and the accuracy of sintering ore blending expert system is insufficient. The optimization of sintering ore blending is also prospected, it is indicated that the high temperature characteristics and system of iron ore powder sintering still need to be developed and perfected. The optimization and improvement of ore blending expert system for high-temperature characteristics of iron ore, and the automation and intelligence of ore blending optimization for sinter process need to study further.
寇明银, 张众, 曾旺, 周恒, 吴胜利. 铁矿粉烧结优化配矿及其模型研究进展[J]. 钢铁, 2022, 57(2): 1-11.
KOU Ming-yin, ZHANG Zhong, ZENG Wang, ZHOU Heng, WU Sheng-li. Research progress on optimization technology and its model of ore-blending for sinter process[J]. Iron and Steel, 2022, 57(2): 1-11.
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2022, Vol. 57 
