Characterisation of Compressed Windings via High Resolution X-ray Computed Tomography and Semi-Automatic Segmentation

Hoole, Joshua; Mitchell, Ria L.; North, Dominic; Simpson, Nick; Mellor, Phil

doi:10.1109/iecon49645.2022.9968418

Cited by 1 publication

(8 citation statements)

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“…Within XCT, repeated 2D X-ray projections of an object are taken from different orientations, to generate a 3D model of the object and internal structures [6]. As a result, XCT provided a method to see within the compressed coil structure to support the verification of the achieved strand transposition.…”

Section: A X-ray Computed Tomographymentioning

confidence: 99%

“…Previous work by the authors performed an XCT scan in which the field of view encompassed half of the coil active length and one end winding [6]. In order to verify the strand transposition, the full coil would need to be scanned to enable each of the 8 parallel strands to be traced throughout the coil.…”

Section: A X-ray Computed Tomographymentioning

confidence: 99%

“…As the multistrand coil XCT volume comprises of a large number of objects of near-identical density, additional image processing as detailed previously and as shown in Fig. 3 was required [6].…”

Section: Volume Segmentation Processmentioning

confidence: 99%

“…It can also be observed from Fig. 5b that the watershed approach can also lead to the obliteration of conductor cross-sections, along with an increase in computational memory requirements and the In order to perform volume segmentation in the sub-volumes requiring watershed segmentation, the semi-automatic procedure developed previously was employed [6]. Within this process, the conductor 'seed' positions within the slice at the sub-volume boundary, along with the expected strand path defined as a vector, are used to find the watershed volumes associated with a strand.…”

Section: Volume Segmentation Processmentioning

confidence: 99%

“…Prior work has defined various idealised strand transpositions, and these are routinely assumed during the design and analysis of electrical machine windings [4], [5]. To date however, there have been limited studies into the characterisation of strand transposition in as-manufactured windings, and the identification of complete three-dimensional strand paths around a coil has yet to be performed [6]. Consequently, for coil winding technologies that result in significant mechanical strand-to-strand and strand-to-tool interactions (such as random windings [5] and compressed coils [7]), existing AC loss…”

Section: Introductionmentioning

confidence: 99%

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

Hoole

North

Simpson

et al. 2023

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

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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.

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Section: A X-ray Computed Tomographymentioning

confidence: 99%

Section: A X-ray Computed Tomographymentioning

confidence: 99%

Section: Volume Segmentation Processmentioning

confidence: 99%

Section: Volume Segmentation Processmentioning

confidence: 99%