DOI: 10.52150/2522-9117-2022-36-67-81

Togobitskaya Daria Mykolaivna, D. Sc. (Tech.), Professor, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, Ukraine, 49107. ORCID: 0000-0001-6413-4823. E-mail: dntog@ukr.net

Belkova Alla Ivanivna, Ph. D. (Tech.), Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, Ukraine, 49107. ORCID: 0000-0001-8519-9351

Muravyova Iryna Hennadiivna, D. Sc. (Tech.), Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, Ukraine, 49107. ORCID: 0000-0001-5926-7787. E-mail: irinamuravyova@gmail.com

Ivancha Mykola Hryhorovych, Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, Ukraine, 49107. ORCID: 0000-0002-5366-9328. E-mail: otosu.to1@gmail.com

Stepanenko Dmytro Oleksandrovych, Ph. D. (Tech.), Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, Ukraine, 49107. ORCID: 0000-0001-5913-2284

Nesterov Oleksandr Stanislavovych, Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, Ukraine, 49107. ORCID: 0000-0002-0183-0327. E-mail: asn.dnepr@gmail.com

Likhachov Yurii Mykhailovych, Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, Ukraine, 49107. ORCID: 0000-0003-3168-7813

DEVELOPMENT AND TESTING OF ALGORITHMIC SUPPORT OF THE EXPERT SYSTEM FOR SELECTING THE OPTIMAL COMPOSITION OF MULTICOMPONENT BLAST FURNACE CHARGE IN SPECIFIC CONDITIONS OF BLAST FURNACE OPERATION

Summary. The aim of the work is to develop and test for specific conditions of the blast furnace algorithmic means of the Expert system for selecting the optimal composition of the multicomponent charge, which provides the necessary technical and economic indicators of melting in variable raw material and energy conditions. The features of algorithmic means of the system for selecting the optimal composition of blast furnace charge, which are developed using methods of physicochemical and mathematical modeling of the processes of distribution and melting of iron ore materials in different zones of the furnace for the development of scientifically based recommendations for adjusting the composition of the charge, taking into account the available raw materials and energy resources. The system implements a set of physicochemical models and criteria for describing the processes of distribution of iron ore materials along the blast furnace radius, their phase transformations in high-temperature zones and directed formation of melts, which are regulated by a system of reasonable technological constraints. The information basis for the creation of predictive models for calculating the physical and chemical properties of metallurgical melts is the information accumulated in the databases “Iron ore materials”, “Slag” and “Metal-slag” created in the Institute of Ferrous Metallurgy of the integrated Knowledge Base “Metallurgy”. The solution of the optimization problem is carried out on the basis of expert evaluation of the forecasting of melting indicators and calculation of the optimal composition of the charge using vector optimization methods by finding a compromise between the accepted optimality criteria and technological constraints. The Expert system has been tested and recommendations on the component composition of blast charge for specific blast furnace operating conditions have been developed.

Key words: blast furnace charge, iron ore materials, properties of melts, technological constraints, expert system, optimality criteria, optimization of charge composition.

DOI: https://doi.org/10.52150/2522-9117-2022-36-67-81

For citation: Rozrobka ta vyprobuvannia alhorytmichnoho zabezpechennia ekspertnoi systemy vyboru optymalnoho skladu bahatokomponentnoi domennoi shykhty u konkretnykh umovakh roboty domennykh pechei [Development and testing of algorithmic support of the expert system for selecting the optimal composition of multicomponent blast furnace charge in specific conditions of blast furnace operation] / D. M. Togobitskaya, A. I. Belkova, I. H. Muravyova, M. H. Ivancha, D. O. Stepanenko, O. S. Nesterov, Y. M. Likhachov // Fundamental and applied problems of ferrous metallurgy. 2022. Collection 36. P. 67-81. [In Ukrainian]. https://doi.org/10.52150/2522-9117-2022-36-67-81

References

1. Murav’eva, I. G., Togobitskaya, D. N., Ivancha, N. G., Bel’kova, A. I., & Nesterov, A. S. (2021). Concept development of an expert system for selecting the optimal composition of a multicomponenet blast furnace charge and functional and algorithmic structure. Steel in Translation, 51(1), 33-38
2. Murav’eva, I. G., Togobitskaya, D. N., Bel’kova, A. I., Ivancha, N. G., & Nesterov, A. S. (2021). Prediction of Composition and Properties of Final Smelting Products Based on Integral Indices of the Blast Furnace Burden and Temperature Blasting Mode. Steel in Translation, 51(8), 531-537
3. Togobitskaya, N., Bel’kova, A. I., Stepanenko, D. A. et al. (2016). Vybor sostava domennoy shikhty, obespechivayushchego napravlennoye formirovaniye zhidkogo produkta domennoy plavki. Metallurgicheskaya i gornorudnaya promyshlennost, (3), 11-18
4. Murav’ev,a I. G., Togobitskaya, D. N., Bel’kova, A. I., Ivancha, N. G., & Nesterov, A. S. (2021). Predictive-analytical evaluation of high temperature properties of iron-ore materials with respect to their distribution in the blast furnace zones. Steel in Translation, 51(3), 195-200
5. Prikhod’ko, V., Togobitskaya, D. N., Khamkhot’ko, A. F., & Stepanenko, D. A. (2013). Prognozirovaniye fiziko-khimicheskikh svoystv oksidnykh sistem. Porogi
6. Bandy, (1988). Sposoby optimizatsii. Vvodnyy kurs. Radio i svyaz
7. Togobitskaya, N., Bel’kova, A. I., Likhachev, Yu. M., & Khodotova, N. E. (2017). Mnogokriterial’naya optimizatsiya domennoy shikhty. Materialy III Vseukrainskoy NTK “Komp’yuternoye modelirovaniye i optimizatsiya slozhnykh sistem”. Dnepr. (p. 161-164)
8. Volovik, A., Gladkov, N. A., Katsman, V. Kh. et al. (1982). Ob effektivnosti ispol’zovaniya v domennoy plavke razlichnykh zhelezorudnykh materialov. Stal, (11), 7-10