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Advances in Electrical and Computer Engineering
Article . 2021 . Peer-reviewed
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Advances in Electrical and Computer Engineering
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Electro-Thermal Coupled Modeling of Induction Motor Using 2D Finite Element Method

Authors: Bousbaine, Amar; Bouheraoua, Mustapha; Atig, M.; Benamrouche, N;

Electro-Thermal Coupled Modeling of Induction Motor Using 2D Finite Element Method

Abstract

The paper evaluates the thermal behavior of an induction machine based on a coupled electromagnetic-thermal model using 2D non-linear complex finite element method. The currents and the temperature distribution in a squirrel cage induction motor in transient state are investigated and presented. The convection heat transfer coefficient between the frame and ambient and the windings are treated with particular attention. The developed method can be applied to other electric machines having negligible axial heat flow. The corroboration of the theoretical/simulated results have been investigated, experimentally using a 2.2 kW totally enclosed fan-cooled induction motor. The simulated results and those obtained from measurements have been critically evaluated and showed good agreements.

Country
United Kingdom
Related Organizations
Keywords

electromagnetic fields, TK7885-7895, Computer engineering. Computer hardware, induction motors, heating, finite element analysis, Electrical engineering. Electronics. Nuclear engineering, thermal analysis, TK1-9971

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
gold