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More than 500 abstracts submitted from over 50 countries


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Oral Presentations


SESSION:
IronMonPM2-R9
Leite International Symposium (10th Intl. Symp. on Advanced Sustainable Iron & Steel Making)
Mon. 21 Oct. 2024 / Room: Ariadni C
Session Chairs: Jose Adilson De Castro; Alena Upolovnikova; Student Monitors: TBA

14:25: [IronMonPM205] OS
CONTROL OF BLAST FURNACE SMELTING USING DIGITAL MATHEMATICAL MODELS
Andrey Dmitriev1; Galina Vitkina2; Maxim Zolotykh2
1Institute of Metallurgy of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation; 2Institute of Metallurgy of Ural Branch of Russian, Amundsen st., Russia
Paper ID: 5 [Abstract]

The role of mathematical models in improving the technology of blast furnace smelting is shown [1]. Examples of new developments of the Institute of Metallurgy of the Ural Branch of the Russian Academy of Sciences in the field of digital models of blast furnace production are given, in particular, two-dimensional and three-dimensional mathematical models of the thermal state of various zones of the blast furnace, the condition of the refractory lining and filling of the furnace, the forecast of the silicon content in cast iron [2, 3].

New developments in the field of analysis and control of various thermophysical and physico-chemical phenomena occurring in various zones of the blast furnace allow us to raise the technology and methods of conducting blast furnace melting to a fundamentally new level, allowing us to save fuel and energy resources.

The possibility of using a digital model at a keeping up with the process when using sensor readings through the database management system of the blast furnace shop of the metallurgical enterprise is shown.

The work was performed within the framework of the State Assignment of Institute of Metallurgy UB RAS.

References:
[1] A.N. Dmitriev. Mathematical modeling of the blast furnace process. Cambridge: Cambridge Scholars Publishing Ltd, 2019. – 209 p.
[2] A.N. Dmitriev, M.O. Zolotykh, G.Yu. Vitkina Improvement of blast furnace production using digital technology. Ferrous metallurgy. Bulletin of Scientific, Technical and Economic Information, 2023, vol. 79, no. 6, pp. 455-464.
[3] A.N. Dmitriev, Ya.M. Gordon, M.O. Zolotykh, G.Yu. Vitkina. Mathematical Modeling and Practical Tasks Solution of Blast Furnace Smelting / AISTech 2016 Proceedings. © 2016 by AIST. P. 3141-3146.


14:45: [IronMonPM206] OS
IMPROVEMENT OF MATHEMATICAL MODELS OF GAS DYNAMICS AND HEAT TRANSFER OF THE BLAST FURNACE PROCESS USING SYNTHESIS GAS
Andrey Dmitriev1; Galina Vitkina2; Nicolay Barbin1; Michael Tsimbalist3; Julia Burova1
1Institute of Metallurgy of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation; 2Institute of Metallurgy of Ural Branch of Russian, Amundsen st., Russia; 3Institute of Metallurgy Ural Division of Russian Academy of Sciences, Ekaterinburg, Russian Federation
Paper ID: 6 [Abstract]

This paper considers the possibility of using and improving the 2-D models of gas dynamics and heat transfer of the blast furnace process, taking into account the injection of synthesis gas (with different amounts of hydrogen in it) [1-2]. The analysis of existing mathematical models of gas dynamics and heat exchange of a blast furnace is carried out and arguments are given justifying the need to take into account the characteristics of synthesis gas in the mathematical model. 

In a blast furnace, additional hydrogen in synthesis gas can be used as a partial replacement for coke, which will reduce the amount of carbon dioxide emissions into the atmosphere and increase the energy efficiency of the process. The use of synthesis gas in a blast furnace has a number of advantages and disadvantages. However, when analyzing the current environmental situation, it should be noted that the technology of using synthesis gas has great prospects.

Calculations using an improved two-dimensional mathematical model have shown a more accurate assessment of the heat transfer characteristics in the blast furnace process using synthesis gas. The results of the study can be used to effectively optimize the parameters of technological processes in blast furnace production.

The work was performed within the framework of the State Assignment of Institute of Metallurgy UB RAS.

References:
[1] A.N. Dmitriev. Mathematical Modeling of the Blast Furnace Process. Cambridge, UK. Cambridge Scholars Publishing Ltd., 2019. – 209.
[2] T. Okosun, S. Nielson, C. Zhou. Blast Furnace Hydrogen Injection: Investigating Impacts and Feasibility with Computational Fluid Dynamics. 2022, JOM 74, 1521–1532.


15:45 COFFEE BREAK/POSTERS/EXHIBITION - Ballroom Foyer