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Cited by 331

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Air-Gap Convection in Rotating Electrical Machines

Howey, David A., Childs, Peter R. N., Holmes, Andrew S.·2012·IEEE Transactions on Industrial Electronics

Abstract

This paper reviews the convective heat transfer within the air gap of both cylindrical and disk geometry rotating electrical machines, including worked examples relevant to fractional horsepower electrical machines. Thermal analysis of electrical machines is important because torque density is limited by maximum temperature. Knowledge of surface convective heat transfer coefficients is necessary for accurate thermal modeling, for example, using lumped parameter models. There exists a wide body of relevant literature, but much of it has traditionally been in other application areas, dominated by mechanical engineers, such as gas turbine design. Particular attention is therefore given to the explanation of the relevant nondimensional parameters and to the presentation of measured convective heat transfer correlations for a wide variety of situations from laminar to turbulent flow at small and large gap sizes for both radial-flux and axial-flux electrical machines.

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Crossref · 10.1109/tie.2010.2100337

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Metadata

Authors
Howey, D. A., Childs, P. R. N., & Holmes, A. S.
Venue
IEEE Transactions on Industrial Electronics
Published
2012-03
Volume
59
Issue
3
Pages
1367-1375
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2127740586
Cited by
331
References
5
FWCI
4.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Air-Gap Convection in Rotating Electrical Machines. https://app.cochat.ai/papers/10.1109/tie.2010.2100337
The paper
Howey, D. A., Childs, P. R. N., & Holmes, A. S. (2012). Air-Gap Convection in Rotating Electrical Machines. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2010.2100337

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.