📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Statistical Simulation of Conductor Lay in Random Windings via X-ray Computed Tomography of Electric Vehicle Stators (2023)

First Author: Hoole J

Attributed to: The Electrical Machine Works: Exploring Metal Additive Manufacturing for Next Generation High Performance Electrical Machines and Wound Components funded by UKRI FLF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/ecce53617.2023.10362127

Publication URI: http://dx.doi.org/10.1109/ecce53617.2023.10362127

Type: Conference/Paper/Proceeding/Abstract