Determination of heat transfer coefficient from housing surface of a totally enclosed fan-cooled machine during passive cooling
Loading...
Access rights
openAccess
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2021-06
Major/Subject
Mcode
Degree programme
Language
en
Pages
12
Series
Machines, Volume 9, issue 6
Abstract
This paper presents the analytical calculation of the heat transfer coefficient of a complex housing shape of a Totally Enclosed Fan-Cooled (TEFC) industrial machine when it works below 20% of its nominal speed or close to stall. Therefore, passive cooling is dominant, and most of the heat is extracted by the combination of natural convection and radiation phenomena. Under these conditions, the area-based composite approach was used for the development of the analytical calculation method. A test rig using a TEFC Synchronous Reluctance Motor (SynRM) was constructed, and the collected experimental data was used to validate the proposed analytical method successfully.Description
Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
AC motor, Analytical approach, Heat transfer, Natural convection, Passive cooling, Radiation, Thermal analysis, Totally enclosed fan-cooled machine, View factor
Other note
Citation
Ghahfarokhi, P S, Podgornovs, A, Kallaste, A, Cardoso, A J M, Belahcen, A, Vaimann, T, Asad, B & Tiismus, H 2021, ' Determination of heat transfer coefficient from housing surface of a totally enclosed fan-cooled machine during passive cooling ', Machines, vol. 9, no. 6, 120 . https://doi.org/10.3390/machines9060120