Gorlova O.E., Orekhova N.N., Kolodezhnaya E.V., Kolkova M.S., Glagoleva I.V. Providing a Rationale for an Integrative Criterion to Predict the Potential Selective Disintegration of Technology-Related, Complex Structured Raw Materials

DOI: 10.18503/1995-2732-2023-21-3-15-26

Abstract

Problem Statement (Relevance). Development of simple methods of the criterion estimation of the potential selective disintegration at the stage of fine crushing is a relevant task due to involving in processing of small batches of mining and metallurgical wastes, considerably differing by structural, technological, physical, mechanical and chemical properties. The fine crushing stage is often the first method of the disintegration in flow charts of processing of technology-related raw materials, already partially crushed in the primary process of mining and beneficiation. It means that it is the stage of the product formation, when heterophase aggregates should be uncovered if possible. To ensure a quick predictive assessment used to make a reasonable choice of a fine crushing method providing the greatest selectivity of the disintegration, a suitable tool can be scoring. Objectives. The research is aimed at providing a rationale for points and criteria of scoring for a centrifugal impact grinding method based on our long-term studies on mineralogical, structural and textural features and patterns of the disintegration of metallurgical wastes. Methods Applied. A system approach to the formation of key indicators influencing efficiency of selectivity of crushing based on a comprehensive analysis of the material and technological characteristics of metallurgical slags, peculiar features of their composition, structure and properties, the previously obtained data on their correlation with efficiency of crushing technology-related aggregates of the material on the interface surface by an impact method of the disintegration. Originality. The authors made a novel attempt to provide a rationale for the composition of key indicators for determining the value of the integrative criterion used to predict the potential selective disintegration of technology-related, complex structured raw materials in centrifugal impact facilities based on scoring. Result. The authors proposed a system of assessment criteria, the composition of key indicators and the scale of assessment and interpretation of results. Practical Relevance. A supported choice of the fine crushing method based on the developed criterion will contribute to reducing losses in beneficiation processes.

Keywords

integrative criterion, fine crushing, selectivity, release, scoring, technology-related mineral raw materials, centrifugal impact, slags

For citation

Gorlova O.E., Orekhova N.N., Kolodezhnaya E.V., Kolkova M.S., Glagoleva I.V. Providing a Rationale for an Integrative Criterion to Predict the Potential Selective Disintegration of Technology-Related, Complex Structured Raw Materials. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2023, vol. 21, no. 3, pp. 15-26. https://doi.org/10.18503/1995-2732-2023-21-3-15-26

Olga E. Gorlova – DrSc (Eng.), Associate Professor, Professor of the Department of Geology, Mine Survey and Beneficiation of Minerals, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

Natalia N. Orekhova – DrSc (Eng.), Associate Professor, Professor of the Department of Geology, Mine Survey and Beneficiation of Minerals, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

Ekaterina V. Kolodezhnaya – PhD (Eng.), Lead Researcher of the Mining Ecology Department, Melnikov Institute of Comprehensive Exploitation of Mineral Resources, Russian Academy of Sciences, Moscow, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

Mariya S. Kolkova – PhD (Geology and Mineralogy), Senior Lecturer of the Department of Geology, Mine Survey and Beneficiation of Minerals, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

Irina V. Glagoleva – Senior Lecturer of the Department of Applied Mathematics and Information Science, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

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