{"title":"Research Status and Prospects of the Blast Furnace Raceway","authors":"Lizhou Yang, Xiaolei Zhou, Zehao Wu","doi":"10.1002/srin.202500973","DOIUrl":null,"url":null,"abstract":"<p>The research on the raceway of the blast furnace (BF) has always been an important part of optimizing the ironmaking process and reducing the carbon emissions of the BF. The study of the physical and chemical characteristics of the raceway is of great significance for optimizing the energy consumption and combustion conditions of the BF reactor. This article analyzes the relationship between research methods and research objects in the raceway. Many studies believe that the raceway is a typical characteristic area of the overall fluid-particle-fine powder reaction flow in the BF. The research methods have also evolved from the initial direct observation to model studies and then to simulation studies, different research approaches have their own research significance. With the development of BF injection technology, mathematical studies have gradually become the mainstream method for studying the physical and chemical characteristics of the raceway under complex operating conditions. By studying the impact of changes in one or more factors on actual production through the combination of different models, it provides a guarantee for the optimization of the BF reactor and is expected to be combined with emerging machine learning technologies in the future to provide real-time guidance for actual production.</p>","PeriodicalId":21929,"journal":{"name":"steel research international","volume":"97 4","pages":"1799-1812"},"PeriodicalIF":2.5000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"steel research international","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/srin.202500973","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/24 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"METALLURGY & METALLURGICAL ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
The research on the raceway of the blast furnace (BF) has always been an important part of optimizing the ironmaking process and reducing the carbon emissions of the BF. The study of the physical and chemical characteristics of the raceway is of great significance for optimizing the energy consumption and combustion conditions of the BF reactor. This article analyzes the relationship between research methods and research objects in the raceway. Many studies believe that the raceway is a typical characteristic area of the overall fluid-particle-fine powder reaction flow in the BF. The research methods have also evolved from the initial direct observation to model studies and then to simulation studies, different research approaches have their own research significance. With the development of BF injection technology, mathematical studies have gradually become the mainstream method for studying the physical and chemical characteristics of the raceway under complex operating conditions. By studying the impact of changes in one or more factors on actual production through the combination of different models, it provides a guarantee for the optimization of the BF reactor and is expected to be combined with emerging machine learning technologies in the future to provide real-time guidance for actual production.
期刊介绍:
steel research international is a journal providing a forum for the publication of high-quality manuscripts in areas ranging from process metallurgy and metal forming to materials engineering as well as process control and testing. The emphasis is on steel and on materials involved in steelmaking and the processing of steel, such as refractories and slags.
steel research international welcomes manuscripts describing basic scientific research as well as industrial research. The journal received a further increased, record-high Impact Factor of 1.522 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)).
The journal was formerly well known as "Archiv für das Eisenhüttenwesen" and "steel research"; with effect from January 1, 2006, the former "Scandinavian Journal of Metallurgy" merged with Steel Research International.
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