Year: 2025
Type: article
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.
Source: steel research international
Authors: Lizhou Yang, Xiaolei Zhou, Zehao Wu
Institution: Kunming University of Science and Technology
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4415536463