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Ulpa particle separation model in a spiral classifier

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Category: Content №1 2020

Last Updated on 09 April 2020

Published on 10 March 2020

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Authors:

O.S.Beshta, Corr. Member of the NAS of Ukraine, Dr. Sc. (Tech.), Prof., orcid.org/0000-0002-4648-0260, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.M.Kuvaiev, Dr. Sc. (Tech.), Prof., orcid.org/0000-0001-6329-071X, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

I.K.Mladetskyi, Dr. Sc. (Tech.), Prof., orcid.org/0000-0002-6159-6819, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M.V.Kuvaiev, Cand. Sc. (Tech.), orcid.org/0000-0002-8560-5433, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020, (1):31-35
https://doi.org/10.33271/nvngu/2020-1/031

 повний текст / full article

Abstract:

Purpose. Development of a model that describes the relationship of parameters characterizing the operating mode of the spiral classifier with the particle size distribution of the ore product in the classifier discharge to increase the efficiency and accuracy of controlling the process of enrichment of iron ore raw materials.

Methodology. Theoretical studies were based on classical models of separation of the classified material and justification of the parameter, characterizing the granulometric composition of the classified material in the classifier discharge, which can be calculated in the framework of the general theoretical model with subsequent control calculations. Methods of analysis, synthesis, systematisation and generalisation, and mathematical model method were used.

Findings. Dependencies are obtained that make it possible to calculate the parameter characterizing the particle size distribution of the product in the spiral classifier discharge by the observed parameters of the enrichment process of the classified product.

Originality. For the first time, a model for the separation of classified material in spiral classifiers is substantiated and the influence of the temperature of the separation medium on the classification process is shown.

Practical value. The results can be used to automatically stabilize the particle size distribution of the product in the discharge of the spiral classifier.

References.

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