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A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners

M. Seoane, Paul Ledger, Antonio Gil Orcid Logo, S. Zlotnik, M. Mallett

International Journal for Numerical Methods in Engineering, Volume: 121, Issue: 16, Pages: 3529 - 3559

Swansea University Authors: Paul Ledger, Antonio Gil Orcid Logo

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DOI (Published version): 10.1002/nme.6369

Abstract

The design of a new magnetic resonance imaging (MRI) scanner requires multiple numerical simulations of the same magneto‐mechanical problem for varying model parameters, such as frequency and electric conductivity, in order to ensure that the vibrations, noise, and heat dissipation are minimized. Th...

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Published in: International Journal for Numerical Methods in Engineering
ISSN: 0029-5981 1097-0207
Published: Wiley 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa53849
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first_indexed 2020-03-23T19:47:11Z
last_indexed 2023-01-11T14:31:36Z
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spelling 2022-12-05T11:38:05.9512524 v2 53849 2020-03-23 A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners 068dd31af167bcda33878951b2a01e97 Paul Ledger Paul Ledger true false 1f5666865d1c6de9469f8b7d0d6d30e2 0000-0001-7753-1414 Antonio Gil Antonio Gil true false 2020-03-23 FGSEN The design of a new magnetic resonance imaging (MRI) scanner requires multiple numerical simulations of the same magneto‐mechanical problem for varying model parameters, such as frequency and electric conductivity, in order to ensure that the vibrations, noise, and heat dissipation are minimized. The high computational cost required for these repeated simulations leads to a bottleneck in the design process due to an increased design time and, thus, a higher cost. To alleviate these issues, the application of reduced order modeling techniques, which are able to find a general solution to high‐dimensional parametric problems in a very efficient manner, is considered. Building on the established proper orthogonal decomposition technique available in the literature, the main novelty of this work is an efficient implementation for the solution of 3D magneto‐mechanical problems in the context of challenging MRI configurations. This methodology provides a general solution for varying parameters of interest. The accuracy and efficiency of the method are proven by applying it to challenging MRI configurations and comparing with the full‐order solution. Journal Article International Journal for Numerical Methods in Engineering 121 16 3529 3559 Wiley 0029-5981 1097-0207 30 8 2020 2020-08-30 10.1002/nme.6369 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2022-12-05T11:38:05.9512524 2020-03-23T13:07:14.0773511 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised M. Seoane 1 Paul Ledger 2 Antonio Gil 0000-0001-7753-1414 3 S. Zlotnik 4 M. Mallett 5 53849__16890__4ee88ee8de4047db95e99cb25603638b.pdf 53849.pdf 2020-03-23T13:09:35.6746962 Output 4953051 application/pdf Accepted Manuscript true 2021-04-14T00:00:00.0000000 true eng
title A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners
spellingShingle A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners
Paul Ledger
Antonio Gil
title_short A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners
title_full A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners
title_fullStr A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners
title_full_unstemmed A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners
title_sort A combined reduced order‐full order methodology for the solution of 3D magneto‐mechanical problems with application to magnetic resonance imaging scanners
author_id_str_mv 068dd31af167bcda33878951b2a01e97
1f5666865d1c6de9469f8b7d0d6d30e2
author_id_fullname_str_mv 068dd31af167bcda33878951b2a01e97_***_Paul Ledger
1f5666865d1c6de9469f8b7d0d6d30e2_***_Antonio Gil
author Paul Ledger
Antonio Gil
author2 M. Seoane
Paul Ledger
Antonio Gil
S. Zlotnik
M. Mallett
format Journal article
container_title International Journal for Numerical Methods in Engineering
container_volume 121
container_issue 16
container_start_page 3529
publishDate 2020
institution Swansea University
issn 0029-5981
1097-0207
doi_str_mv 10.1002/nme.6369
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description The design of a new magnetic resonance imaging (MRI) scanner requires multiple numerical simulations of the same magneto‐mechanical problem for varying model parameters, such as frequency and electric conductivity, in order to ensure that the vibrations, noise, and heat dissipation are minimized. The high computational cost required for these repeated simulations leads to a bottleneck in the design process due to an increased design time and, thus, a higher cost. To alleviate these issues, the application of reduced order modeling techniques, which are able to find a general solution to high‐dimensional parametric problems in a very efficient manner, is considered. Building on the established proper orthogonal decomposition technique available in the literature, the main novelty of this work is an efficient implementation for the solution of 3D magneto‐mechanical problems in the context of challenging MRI configurations. This methodology provides a general solution for varying parameters of interest. The accuracy and efficiency of the method are proven by applying it to challenging MRI configurations and comparing with the full‐order solution.
published_date 2020-08-30T04:07:02Z
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score 11.012678

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