Experience in the Application of Improved Algorithms for Automatic Control of Electrical and Technological Modes in Arc Steelmaking Furnaces

In this article, a description of the improved control algorithm for RCB burners and injectors of carbon-containing material (CCM) for a modular-type arc steelmaking furnace operating at one of the domestic metallurgical enterprises is presented. A brief characterization of the electric arc furnace (EAF) as the object of research is provided, along with a concise description of the peculiarities of the steelmaking technological process and the existing cooking profiles. Statistical data from a large sample of heats is analysed, part of which was conducted using old control algorithms for oxygen injectors and carbon-containing material injectors, while the other part was conducted using a new algorithm that utilizes information about the harmonic composition of electric arc currents. Based on the obtained information, experimentally justified conclusions are made regarding the effectiveness of the new algorithm and its impact on the energy consumption of the furnace installation.

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Published
2025-03-24
DOI
https://doi.org/10.1109/smartindustrycon65166.2025.10985988
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Experience in the Application of Improved Algorithms for Automatic Control of Electrical and Technological Modes in Arc Steelmaking Furnaces

P. G. Tulupov, А. А. Николаев, A.S. Denisevich, A. V. Yaroslavcev
Metallurgical Processes and Thermodynamics
article

Experience in the Application of Improved Algorithms for Automatic Control of Electrical and Technological Modes in Arc Steelmaking Furnaces

P. G. Tulupov, А. А. Николаев, A.S. Denisevich, A. V. Yaroslavcev
article en

Abstract

In this article, a description of the improved control algorithm for RCB burners and injectors of carbon-containing material (CCM) for a modular-type arc steelmaking furnace operating at one of the domestic metallurgical enterprises is presented. A brief characterization of the electric arc furnace (EAF) as the object of research is provided, along with a concise description of the peculiarities of the steelmaking technological process and the existing cooking profiles. Statistical data from a large sample of heats is analysed, part of which was conducted using old control algorithms for oxygen injectors and carbon-containing material injectors, while the other part was conducted using a new algorithm that utilizes information about the harmonic composition of electric arc currents. Based on the obtained information, experimentally justified conclusions are made regarding the effectiveness of the new algorithm and its impact on the energy consumption of the furnace installation.

Nosov Magnitogorsk State Technical University (RU)
Ministry of Science and Higher Education of the Russian Federation
Industry, innovation and infrastructure
Openalex Percentile: Top 91%
Metallurgical Processes and Thermodynamics
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Experience in the Application of Improved Algorithms for Automatic Control of Electrical and Technological Modes in Arc Steelmaking Furnaces — P. G. Tulupov, А. А. Николаев, et al. · (2025) | TGRS Research Map | TGRS