Prediction of Composition and Properties of Final Smelting Products Based on Integral Indices of the Blast Furnace Burden and Temperature Blasting Mode

Muravyova, Iryna; Togobitskaya, D. N.; Belkova, A.I.; Ivancha, N. G.; Nesterov, Alexander S.

doi:10.3103/s096709122108009x

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…The method of evaluating aggregate transformations of iron ore materials can be used to determine their properties, taking into account the distribution of burden components along the cross-section of the top part of the blast furnace using the burden distribution model presented in [16]. The calculation of the chemical composition of pig iron and smelting slag is carried out by the method of forecasting the distribution coefficients of the burden elements according to the scheme "Burden" + "Technology" = "Smelting products" [14,17]. Method is based on predictive models of the distribution coefficients LE of elements (sulfur, silicon, manganese, titanium and iron) between smelting products.…”

Section: Fig 1 Methods Of Modeling the Processes Of Directed Formatio...mentioning

confidence: 99%

Model Decision-Making System in the Task of Choosing the Optimal Composition of the Blast Furnace Burden Under Specific Operating Conditions of Bf

Belkova

Togobitskaya

Stepanenko

2023

Acta Metall Slovaca

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This paper presents the methodological basis for creating a model system for selecting the optimum composition of blast furnace burden, providing the required technical and economic performance and the melting of pig iron of the required composition. The system implements a new systematic approach to modeling the processes of directed formation of blast-furnace melts. Description of composition and properties of metallurgical systems in different states is based on an original concept of directional chemical bonding using integral parameters of interatomic interaction of components in the system. The developed complex of mathematical and physical-chemical models and criteria provides a solution to the direct problem of predicting the composition of pig iron and properties of blast furnace slag, depending on burden and technological conditions. Determination of the optimal burden composition is carried out using vector optimization methods with mandatory verification of compliance with the technological requirements of high-temperature properties of the burden. The results of testing the model system on actual industrial data of blast furnace operation are illustrated, which made it possible to formulate recommendations on the composition of the loaded feed, taking into account the available raw material and energy resources.

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Section: Fig 1 Methods Of Modeling the Processes Of Directed Formatio...mentioning

confidence: 99%

Model Decision-Making System in the Task of Choosing the Optimal Composition of the Blast Furnace Burden Under Specific Operating Conditions of Bf

Belkova

Togobitskaya

Stepanenko

2023

Acta Metall Slovaca

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Data-driven classification of the chemical composition of calcine in a ferronickel furnace oven using machine learning techniques

Cardenas¹,

Leon-Medina²,

Pulgarin³

et al. 2023

Results in Engineering

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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

Togobitskaya,

Belkova,

Muravyova

et al. 2022

Fund.Appl.Probl.F.Met

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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.

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Prediction of Composition and Properties of Final Smelting Products Based on Integral Indices of the Blast Furnace Burden and Temperature Blasting Mode

Cited by 3 publications

References 4 publications

Model Decision-Making System in the Task of Choosing the Optimal Composition of the Blast Furnace Burden Under Specific Operating Conditions of Bf

Model Decision-Making System in the Task of Choosing the Optimal Composition of the Blast Furnace Burden Under Specific Operating Conditions of Bf

Data-driven classification of the chemical composition of calcine in a ferronickel furnace oven using machine learning techniques

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

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