KINETIC AND THERMODYNAMIC ASPECTS IN MATHEMATICAL MODELING OF HOT METAL DESULFURIZATION PROCESS

1,2 PODOLSKA-LOSKA Angelika
Co-authors:
2 FALKUS Jan
Institutions:
1 AMP – ArcelorMittal Poland, Dąbrowa Górnicza, Poland, EU, angelika.podolska-loska@arcelormittal.com
2 AGH University of Krakow, Faculty of Metals Engineering and Industrial Computer Science, Krakow, Poland, EU jfalkus@agh.edu.pl
Conference:
33rd International Conference on Metallurgy and Materials, Orea Congress Hotel Brno, Czech Republic, EU, May 22 - 24, 2024
Proceedings:
Proceedings 33rd International Conference on Metallurgy and Materials
Pages:
50-55
ISBN:
978-80-88365-21-1
ISSN:
2694-9296
Published:
26th June 2024
Proceedings of the conference have been sent to Web of Science and Scopus for evaluation and potential indexing.
Metrics:
95 views / 55 downloads
Abstract

The aim of the research in the hot metal desulfurization process is to create a mathematical model that will include both kinetic and thermodynamic aspects of the process. This is intended to increase the accuracy of predicting and obtaining the level of sulfur content in the hot metal, as well as to optimize process costs. By physically modeling the phenomenon of mixing the metal bath, it was possible to determine the influence of the method of supplying the desulfurization agent on the time of complete mixing of the metal bath. This made it possible to determine how the reactants are distributed in metal bath, which influenced further stages of research. By applying the theory of elementary reactors and enriching it with thermodynamic equilibrium calculations using Thermodynamic Equilibrium Software (TES), it will be possible to model the change in sulfur content during the desulfurization process in individual elementary reactors. This approach to the problem will allow the use of a solution that will enable accurate tracking of the sulfur removal process from the metal bath in a given time step. Such use of knowledge in the field of process kinetics and thermodynamic aspects may lead to even better control of the hot metal desulfurization process.

Keywords: Hot metal, desulfurization, mathematical modeling, metallurgy

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