MATHEMATICAL SIMULATION OF A LINEAR INDUCTION MOTOR FOR COLOR METALS SEPARATION

Authors

DOI:

https://doi.org/10.20535/1813-5420.2.2019.190050

Keywords:

scrap, separator, linear three-phase induction motor, mathematical modeling, industry waste, non-ferrous metals, technical measures

Abstract

Non-ferrous and metal scrap separation nowadays is becoming more and more actual problem. There are several traditional methods of separating ferrous and non-ferrous metal waste. To automate this process, it is necessary to use mechanized systems based on linear induction motors. This paper is presented to the study of such type object. In this paper several field mathematical models have been developed, which are implemented by the finite element method in Comsol Multiphysics software package. The object of the study is a linear three-phase induction motor which is constructed for the non-ferrous metal scrap separation. With the help of the developed mathematical model the basic parameters and characteristics of a linear motor are calculated and the optimal limits of its operation are determined and the minimum configuration of the scrap is required for its reliable separation. A series of calculations was performed to determine the optimal operating modes of the linear separator and to formulate recommendations for the practical implementation of the experimental one. In this paper relation between electrical conductivity and force was calculated. It was performed due to optimal practical recommendations, which are used in real life operation.

References

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INDUCTION MACHINES FOR ELECTRODYNAMIC SEPARATION OF NON-FERROUS METALS / A.Yu. Konyayev, S.L.Nazarov. // Faculty of Electrical Engineering, Ural Federal University. – 2016. – p. 13–14.

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MATEMATYCHESKOE MODELYROVANYE ÉLEKTROMAHNYTNYKH MUFT (MATHEMATICAL MODELING OF ELECTROMAGNETIC COUPLANG) / MA Kovalenko, YV Malyar. // Mizhnarodnyy naukovo-tekhnichnyy zhurnal" Suchasni problemy elektroenerhotekhniky ta avtomatyky". – 2017. – p. 351–352.

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Published

2019-12-27

Issue

Section

MONITORING, DIAGNOSTICS AND MANAGEMENT BY ENERGY PROCESSES AND EQUIPMENT