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An application of hp-version finite element methods to quench simulation in axisymmetric MRI magnets

M. S. Miah, P. D. Ledger, Antonio Gil Orcid Logo, M. Mallett, T.-Q. Ye

Engineering with Computers

Swansea University Author: Antonio Gil Orcid Logo

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Abstract

Magnetic Resonance Imaging (MRI) scanners employ superconducting magnets to produce a strong uniform magnetic field over the bore of the scanner as part of the imaging process. Superconductors are preferred, as they can generate the required field strengths without electrical resistance, but, to do...

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Published in: Engineering with Computers
ISSN: 0177-0667 1435-5663
Published: Springer Nature 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa68954
Abstract: Magnetic Resonance Imaging (MRI) scanners employ superconducting magnets to produce a strong uniform magnetic field over the bore of the scanner as part of the imaging process. Superconductors are preferred, as they can generate the required field strengths without electrical resistance, but, to do this, the materials need to be cooled to very low temperatures, typically around 4.2K. However, due to imperfections in the windings, cracks and small air gaps in the epoxy resin between the wires, heating can occur leading to a process known as magnet quench. During magnet quench, the magnet temperature rises quickly, and the magnet loses its superconductivity. This work presents an accurate numerical model for predicting magnet quench for axisymmetric MRI scanners by solving the coupled system of thermal, electromagnetic and circuit equations by means of a high order/hp-version finite element method where regions of high gradients are resolved with boundary layer elements. A series of numerical results are included to demonstrate the effectiveness of the approach.
Keywords: Magnet quench; Superconductivity; Coupled physics problem; Magnetic Resonance Imaging; hp-Version finite element method
College: Faculty of Science and Engineering
Funders: M.S. Miah is grateful to the Engineering and Physical Sciences Research Council (U.K) and Siemens Healthineers for a CASE Award PhD studentship that has supported this work.