模型决策系统的任务是选择高炉在特定运行条件下炉料的最优组成

IF 1.1 Q3 METALLURGY & METALLURGICAL ENGINEERING
A. Belkova, Daria Togobitska, D. Stepanenko
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引用次数: 0

摘要

本文介绍了建立高炉炉料最佳成分选择模型系统的方法基础,提供了所需的技术经济性能和所需成分的生铁熔炼。该系统为高炉熔体定向形成过程的建模提供了一种新的系统方法。描述不同状态下的冶金系统的组成和性能是基于一个原始的定向化学键概念,使用系统中组分的原子间相互作用的积分参数。发展起来的数学和物理化学模型和标准的复合体,为根据炉料和工艺条件预测生铁成分和高炉炉渣性能的直接问题提供了解决方案。采用矢量优化方法确定最优炉料组成,并对炉料高温性能的工艺要求进行强制性验证。通过对高炉实际工业运行数据的测试,说明了该模型系统的测试结果,从而可以在考虑到现有原料和能源的情况下,对加载料的组成提出建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MODEL DECISION-MAKING SYSTEM IN THE TASK OF CHOOSING THE OPTIMAL COMPOSITION OF THE BLAST FURNACE BURDEN UNDER SPECIFIC OPERATING CONDITIONS OF BF
This paper presents the methodological basis for creating a model system for selecting the optimum composition of blast furnace burden, providing the required technical and economic performance and the melting of pig iron of the required composition. The system implements a new systematic approach to modeling the processes of directed formation of blast-furnace melts. Description of composition and properties of metallurgical systems in different states is based on an original concept of directional chemical bonding using integral parameters of interatomic interaction of components in the system. The developed complex of mathematical and physical-chemical models and criteria provides a solution to the direct problem of predicting the composition of pig iron and properties of blast furnace slag, depending on burden and technological conditions. Determination of the optimal burden composition is carried out using vector optimization methods with mandatory verification of compliance with the technological requirements of high-temperature properties of the burden. The results of testing the model system on actual industrial data of blast furnace operation are illustrated, which made it possible to formulate recommendations on the composition of the loaded feed, taking into account the available raw material and energy resources.
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来源期刊
Acta Metallurgica Slovaca
Acta Metallurgica Slovaca METALLURGY & METALLURGICAL ENGINEERING-
CiteScore
2.00
自引率
30.00%
发文量
22
审稿时长
12 weeks
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