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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 
,
S. Zlotnik,
M. Mallett
,
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
-
PDF | Accepted Manuscript
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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...
| Published in: | International Journal for Numerical Methods in Engineering |
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| ISSN: | 0029-5981 1097-0207 |
| Published: |
Wiley
2020
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa53849 |
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| 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. 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. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
16 |
| Start Page: |
3529 |
| End Page: |
3559 |