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Lookup NU author(s): Dr Rafal Wrobel
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© 2016 IEEE.This paper investigates various winding loss separation approaches applicable to the thermal analysis of electrical machines, transformers and wound passive components. The accurate temperature prediction and identification of hot-spots within such electromagnetic devices is strongly dependent on the absolute power loss data as well as the loss distribution within the subassemblies or regions of the device. The losses within a device are often defined as the average loss over a particular region, for example, the winding loss, core loss or magnet loss. However, such a loss definition might not yield the required fidelity or resolution, particularly if localised power loss such as ac winding loss is present during device operation. To account for the inhomogeneous winding loss, a more detailed loss separation is required. In this paper, the winding subassembly is subdivided into a number of sub-regions accounting for both the active length and end-winding. Three-dimensional (3D) electromagnetic and thermal analyses are employed to give insight into the effect of the loss definition on the accuracy and validity of the temperature prediction. A hardware exemplar representative of a single-layer open-slot stator/winding subassembly has been selected for the analysis. The results suggests that detailed loss separation provides improved accuracy of the temperature predictions and hotspots identification when compared with the more common averaged loss definition. The theoretical findings have been validated with experimental data showing close correlation.
Author(s): Wrobel R, Simpson N
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2016 22nd International Conference on Electrical Machines, ICEM 2016
Year of Conference: 2016
Pages: 2133-2139
Online publication date: 03/11/2016
Acceptance date: 04/09/2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
URL: https://doi.org/10.1109/ICELMACH.2016.7732817
DOI: 10.1109/ICELMACH.2016.7732817
Library holdings: Search Newcastle University Library for this item
ISBN: 9781509025381