DOI: 10.52150/2522-9117-2019-33-193-204

Togobitskaya Daria Nikolaevna, Dr. Sci. (Engin.), Professor, Head of the Department, Iron and Steel Institute named after Z.I. Nekrasov of the NAS of Ukraine, Academican Starodubova square, 1, Dnipro, Ukraine, 49107; email: dntog@ukr.net, isi-ofhp@mail.ru ORCID 0000-0001-6413-4823
Bel’kova Alla Ivanovna., PhD (Engin.), Senior Research Scientist, Iron and Steel Institute named after Z.I. Nekrasov of the NAS of Ukraine, Academican Starodubova square, 1, Dnipro, Ukraine, 49107; e-mail: alla2904b8@gmail.com, allabelkova8@mail.ru, ORCID 0000-0001-8519-9351
Stepanenko Dmitry Alexandrovich, PhD (Engin.), Senior Researcher, Institute named after Z.I. Nekrasov of the NAS of Ukraine, Academican Starodubova square, 1, Dnipro, Ukraine, 49107; e-mail: d.gorodenskiy@gmail.com, Gorodenskiy@i.ua, ORCID 0000-0002-0184-8295

Development of a knowledge base for modeling the physicochemical properties of metallurgical systems and processes

Summary. The Institute of Ferrous Metallurgy created the Knowledge Base “Metallurgy” (BDMet). It can be used to model the physicochemical properties of metallurgical systems and processes based on modern computer information technology. The aim of the work is to develop the fundamental foundations and identify the main directions of development of PMD, expand the presentation of fundamental, technological and regulatory reference information for analysis and multi-criteria optimization of technological processes. A component of BDMet is also the Base of models of metallurgical systems and technological processes, applied and theoretical research software. The database contains experimental data on the physicochemical properties of metal and slag melts formed from the corresponding charge materials in reducing and oxidizing conditions. The results of relevant scientific and applied developments of the department of physicochemical problems of metallurgical processes are shown. It is noted that the presence in the BDMet of the stock of models according to redistribution and a unified methodology for their creation on a modular basis allows the generation of models into a single end-to-end model. It also allows you to identify the optimal scheme of metallurgical processes and ensure the production of metal of a given quality in the framework of end-to-end technology. It is shown that the use allows us to solve the problems of optimization of technological processes for the production of iron and steel. The prospects for the development of further studies for systemic accumulation in the databases of documentary factual data and experimental information on the properties of metal and slag melts, as well as their further use in reduction and oxidation processes of metallurgical production, are determined.
Keywords: database, model database, knowledge base, physicochemical and mathematical modeling, physicochemical properties of systems, metallurgical processes.

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