Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models

Joshua Hoole; Dominic J North; Nick Simpson; Phil H Mellor

doi:10.1109/WEMDCD55819.2023.10110906

Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models

Joshua Hoole, Dominic J North, Nick Simpson, Phil H Mellor

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

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Abstract

To minimise AC losses in power dense electrical machines, multistrand stator windings are routinely employed. However, the magnitude of AC losses can be highly sensitive to the strand transposition achieved in the as-manufactured winding, which can differ significantly from that assumed during design. This paper employs X-ray Computed Tomography (XCT) to verify the twisted strand transposition in a compressed aluminium coil, through the construction of 3D models for each of the strands within the coil. These models enable the strand transposition to be verified by qualitative and quantitative means, providing initial insight into the actual strand transposition achieved at the mid-point of the coil active length.

Original language	English
Title of host publication	2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	978-1-6654-8693-4
ISBN (Print)	978-1-6654-8694-1
DOIs	https://doi.org/10.1109/WEMDCD55819.2023.10110906
Publication status	Published - 1 May 2023

Publication series

Name
Publisher	IEEE
ISSN (Print)	2694-0264
ISSN (Electronic)	2380-856X

Bibliographical note

Funding Information:
The authors acknowledge the University of Sheffield Tomography Centre (STC) funding from EPSRC (EP/T006390/1).

Publisher Copyright:
© 2023 IEEE.

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10.1109/WEMDCD55819.2023.10110906

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@inproceedings{07fcf2097b204e5cb852f23cc5c224d8,

title = "Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models",

abstract = "To minimise AC losses in power dense electrical machines, multistrand stator windings are routinely employed. However, the magnitude of AC losses can be highly sensitive to the strand transposition achieved in the as-manufactured winding, which can differ significantly from that assumed during design. This paper employs X-ray Computed Tomography (XCT) to verify the twisted strand transposition in a compressed aluminium coil, through the construction of 3D models for each of the strands within the coil. These models enable the strand transposition to be verified by qualitative and quantitative means, providing initial insight into the actual strand transposition achieved at the mid-point of the coil active length.",

author = "Joshua Hoole and North, {Dominic J} and Nick Simpson and Mellor, {Phil H}",

note = "Funding Information: The authors acknowledge the University of Sheffield Tomography Centre (STC) funding from EPSRC (EP/T006390/1). Publisher Copyright: {\textcopyright} 2023 IEEE.",

year = "2023",

month = may,

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doi = "10.1109/WEMDCD55819.2023.10110906",

language = "English",

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booktitle = "2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)",

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Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models. / Hoole, Joshua ; North, Dominic J ; Simpson, Nick et al.
2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD). Institute of Electrical and Electronics Engineers (IEEE), 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models

AU - Hoole, Joshua

AU - North, Dominic J

AU - Simpson, Nick

AU - Mellor, Phil H

PY - 2023/5/1

Y1 - 2023/5/1

N2 - To minimise AC losses in power dense electrical machines, multistrand stator windings are routinely employed. However, the magnitude of AC losses can be highly sensitive to the strand transposition achieved in the as-manufactured winding, which can differ significantly from that assumed during design. This paper employs X-ray Computed Tomography (XCT) to verify the twisted strand transposition in a compressed aluminium coil, through the construction of 3D models for each of the strands within the coil. These models enable the strand transposition to be verified by qualitative and quantitative means, providing initial insight into the actual strand transposition achieved at the mid-point of the coil active length.

AB - To minimise AC losses in power dense electrical machines, multistrand stator windings are routinely employed. However, the magnitude of AC losses can be highly sensitive to the strand transposition achieved in the as-manufactured winding, which can differ significantly from that assumed during design. This paper employs X-ray Computed Tomography (XCT) to verify the twisted strand transposition in a compressed aluminium coil, through the construction of 3D models for each of the strands within the coil. These models enable the strand transposition to be verified by qualitative and quantitative means, providing initial insight into the actual strand transposition achieved at the mid-point of the coil active length.

U2 - 10.1109/WEMDCD55819.2023.10110906

DO - 10.1109/WEMDCD55819.2023.10110906

M3 - Conference Contribution (Conference Proceeding)

SN - 978-1-6654-8694-1

BT - 2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models

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