Work

X-Ray Computed Tomography Derived Turn Bundle Shapes and Transposition in Volume Manufactured Multistrand Random Windings

Year: 2025

Type: conference-paper

Abstract: To accommodate the development of power-dense electrical machines that employ multistrand random windings, there has been sustained interest in the statistical simulation of the variable strand transpositions that occur in as-manufactured windings. However, the development and calibration of such methodologies is challenging due to the lack of data concerning realistic strand transpositions. This paper aims to overcome this lack of data through performing X-ray Computed Tomography (XCT) of a multistrand random winding coil extracted from an electric vehicle traction motor stator. By tracing each parallel strand in the winding through the XCT-derived data, turn bundle shapes and behaviours were identified that are not routinely accounted for in the statistical simulation of strand transpositions. Consequently, the data presented in this paper presents guidance to support the future development of strand transposition and AC loss variability simulation methods.

Source: IEEE Workshop on Electrical Machines Design, Control and Diagnosis

DOI: 10.1109/wemdcd61816.2025.11014200

Authors: Joshua Hoole, Elizabeth Martin-Silverstone, Philip H. Mellor, Nick Simpson

Institution: University of Bristol

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: University of Bristol