铁矿烧结配矿粒度场-高温特性多尺度行为及机理研究

Sintering characteristics of iron ore are very important for ore blending and sintering in ironmaking production. The existing evaluation systems of iron ore high temperature characteristics are lack of particle micro information representation. However, the granularity characteristics of iron ore and its distribution state and particle behavior in granularity field built by iron ore blending are important factors affecting the high-temperature characteristics. This project aims to investigate multi-scale behavior of iron ore granularity field by using information fusion, intelligent modeling and metallurgical simulation technology and to solve the problem of information representation under granularity field, and describes the relationship of granularity behavior and high-temperature characteristics. The essential research contents include: (1) granularity and distribution characteristics of mixing and cooperative behavior between iron ore particles; (2) particle behavior and distribution state of granularity-temperature field in sintering bed during high temperature reaction; (3) multi-scale granularity information representation of iron ore and numerical simulation for sintering; (4) information fusion and decision modeling of granularity field and sintering properties. The high temperature characteristics of iron ore powder under certain characteristic grain size and distribution of granularity field will be explored. Information representation model of granularity field and multi-scale numerical simulation model for sintering will be established.And the cooperative mechanism of iron ore properties and the relationship between ore granularity characteristics and sinter performance will be described through application models. This research not only will establish optimal rules for ore matching and mixing, but also can provide technology support for the development of new sintering process with certain iron ore, which have important theory significance and application value.

铁矿的烧结特性对炼铁的烧结生产非常重要。现有的铁矿烧结高温性能评价缺乏粒度微观信息表征，评价体系不完备。而铁矿的粒度特性及其在混合和布料粒度场中的分布状态和行为是影响高温特性的重要因素。本项目拟采用信息融合、智能建模和冶金模拟技术研究铁矿粉在烧结配料粒度场的多尺度行为，解决粒度场信息和粒度行为-高温特性关系的表征。重点研究：(1)铁矿颗粒在混合和布料中的粒度特性、场态分布和协同行为；(2)高温烧结中的粒度行为和料层粒度-温度场状态；(3)粒度宏微观多尺度信息的表征和数值模拟；(4)铁矿粉粒度场-烧结特性信息融合与优化决策。探索铁矿粉在特征粒度场态下的烧结高温特性。建立配矿粒度场信息表征模型、烧结多尺度数值模拟模型，描述铁矿石性能与烧结矿性能关系的机理和应用模型。研究工作不仅能为烧结科学配矿提供基础，而且能为针对特定矿石的特点开发适宜的新工艺和技术提供支撑，具有重要的理论和应用价值。

铁矿粉的烧结配矿信息优化对实现烧结过程智慧制造非常重要。铁矿粉的粒度特性及其在混合与布料粒度场中的分布状态和行为是影响高温特性的重要因素。针对铁矿烧结高温性能评价缺乏粒度微观信息表征和评价体系不完备的问题，本项目采用信息融合、智能建模和冶金模拟技术研究了铁矿粉在烧结配料粒度场中的多尺度行为。围绕粒度场信息和粒度行为-高温特性关系的表征开展了如下研究：.（1）研究了铁矿粉颗粒在混合与布料中的粒度特性、场态分布和协同行为，探明了制粒与布料粒度场场态演进机理和颗粒竞争性黏附规律，建立了铁矿粉竞争性黏附与制粒效果评价体系。.（2）通过研究高温烧结中的粒度行为，弄清了燃料、熔剂特征颗粒影响粒度-温度场状态的规律，建立了铁矿粉粒度-高温特性关联模型，形成了铁矿粉高温特性评价体系。.（3）在分析原料颗粒的制粒交互作用、布料偏析效应和高温熔融过程的基础上，建立了过程模型并开展了数值模拟。结合模拟计算构建了铁矿粒度场-烧结矿产质量预判模型。.（4）研究了铁矿粉粒度场-烧结特性信息融合与优化决策。通过配矿粒度场信息表征建模，形成了多尺度粒度特征信息的融合与决策机制，提出了配矿粒度准则与多目标优化方法，在此基础上研发了粒度场-烧结特性信息融合与决策系统。. 本项目的研究成果不仅能为烧结科学配矿提供基础，而且能为针对特定矿石的特点开发适宜的新工艺和技术提供支撑，具有重要的理论和应用价值。