Modelling of iron ore processing in technological units based on the hybrid approach

• Autorzy: Morkun Vladimir , Tron Vitaliy , Zymohliad Vadym

Identyfikatory

DOI

10.2478/ama-2022-0010

• Języki publikacji: EN

Abstrakty

EN

The process line of concentrating iron ore materials is considered as a sequence of connected concentration units, some of which partially return ore materials to the previous unit. The output product of the final concentration unit in the process line is the end product of the whole line. Characteristics of ore, such as distribution of ore particles by size and distribution of iron content by size classes, are considered. Processing of iron ore materials by process units (a cycle, a scheme) is characterised by a separation characteristic – namely the function of extracting elementary fractions depending on physical properties of ore particles. The results of fraction analysis of ore samples in different points of the process line provide an experimental definition of separation characteristics and numerical values of the Rosin–Rammler equation factors. To identify dependencies that cannot be analytically described, the hybrid approach accompanied by the Takagi–Sugeno fuzzy models, in accompaniment with triangular membership functions determining fuzzy sets in preconditions, are used. To identify fuzzy sets in rule preconditions, triangular membership functions are used. Introduction of a-priori data on iron ore concentration as constraints for model parameters is a promising trend of further research, since it enables increased accuracy of identification despite limited availability of experimental data.

Słowa kluczowe

EN

iron ore; Rosin–Rammler; fuzzy model; separation characteristics

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2022
• Tom: Vol. 16, no. 1
• Strony: 82--90
• Opis fizyczny: Bibliogr. 37 poz., tab., wykr.

Twórcy

autor

Morkun Vladimir

• Department of Automation, Computer Science and Technologies, Kryvyi Rih National University, Vitalii Matusevich St., 11, Kryvyi Rih, Ukraine

• https://orcid.org/0000-0003-1506-9759

autor

Tron Vitaliy

• Department of Automation, Computer Science and Technologies, Kryvyi Rih National University, Vitalii Matusevich St., 11, Kryvyi Rih, Ukraine

• https://orcid.org/0000-0002-6149-5794

autor

Zymohliad Vadym

• Department of Automation, Computer Science and Technologies, Kryvyi Rih National University, Vitalii Matusevich St., 11, Kryvyi Rih, Ukraine

• https://orcid.org/0000-0002-6822-6140

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