Real-time electromagnetic visualisation using augmented reality and accelerated models

Jalal, Bawar (2023) Real-time electromagnetic visualisation using augmented reality and accelerated models. PhD thesis, University of Nottingham.

[img] PDF (Thesis - as examined) - Repository staff only until 30 September 2025. Subsequently available to Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (45MB)

Abstract

Given the recent push towards the next-generation wide band-gap semiconductor devices, electromagnetic interference is a growing concern due to the higher switching frequencies, voltages and currents. Therefore, understanding the electromagnetic behaviour of power electronic systems is important. Visualising the real-time thermal dynamics of these systems is possible using infrared imaging cameras. However, no equivalent tool exists for the real-time prediction of electromagnetic fields.

This is due to the computational complexity of electromagnetic problems which typically makes them too slow to model in real-time. By implementing a number of techniques to accelerate this process, the simulation time can be significantly reduced, allowing the electromagnetic dynamics of a system to be predicted in real-time.

This thesis explores how real-time simulation models and extended reality technologies can be used to replicate the thermal-imaging effect but for electromagnetics. An innovative augmented reality application is developed allowing the 3D visualisation of electromagnetic effects overlaid on the physical device in real-time.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Evans, Paul
Greedy, Steve
Keywords: Electromagnetic fields; Electromagnetic interference; Simulation methods; Mixed reality
Subjects: Q Science > QA Mathematics > QA 75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics
Faculties/Schools: UK Campuses > Faculty of Engineering
Item ID: 74391
Depositing User: Jalal, Bawar
Date Deposited: 14 Dec 2023 04:40
Last Modified: 14 Dec 2023 04:40
URI: https://eprints.nottingham.ac.uk/id/eprint/74391

Actions (Archive Staff Only)

Edit View Edit View