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Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data
Fusion Engineering and Design, Volume: 100, Pages: 100 - 111
Swansea University Author: Llion Evans
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© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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DOI (Published version): 10.1016/j.fusengdes.2015.04.048
Abstract
The thermal performance of a carbon fibre composite-copper monoblock, a sub-component of a fusion reactor divertor, was investigated by finite element analysis. High-accuracy simulations were created using an emerging technique, image-based finite element modelling, which converts X-ray tomography d...
Published in: | Fusion Engineering and Design |
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ISSN: | 0920-3796 |
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2023-02-14T15:35:13.3215502 v2 39974 2018-05-04 Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data 74dc5084c47484922a6e0135ebcb9402 0000-0002-4964-4187 Llion Evans Llion Evans true false 2018-05-04 MECH The thermal performance of a carbon fibre composite-copper monoblock, a sub-component of a fusion reactor divertor, was investigated by finite element analysis. High-accuracy simulations were created using an emerging technique, image-based finite element modelling, which converts X-ray tomography data into micro-structurally faithful models, capturing details such as manufacturing defects. For validation, a case study was performed where the thermal analysis by laser flash of a carbon fibre composite-copper disc was simulated such that computational and experimental results could be compared directly. Results showed that a high resolution image-based simulation (102 million elements of 32 μm width) provided increased accuracy over a low resolution image-based simulation (0.6 million elements of 194 μm width) and idealised computer aided design simulations. Using this technique to analyse a monoblock mock-up, it was possible to detect and quantify the effects of debonding regions at the carbon fibre composite-copper interface likely to impact both component performance and expected lifetime. These features would not have been accounted for in idealised computer aided design simulations. Journal Article Fusion Engineering and Design 100 100 111 0920-3796 X-ray tomography, Finite element analysis, Image-based modelling, Thermal conductivity, Laser flash, Joining 30 11 2015 2015-11-30 10.1016/j.fusengdes.2015.04.048 https://www.sciencedirect.com/science/article/pii/S092037961500277X COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University EPSRC, University of Manchester 2023-02-14T15:35:13.3215502 2018-05-04T15:14:39.4517910 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Llion Evans 0000-0002-4964-4187 1 L. Margetts 2 V. Casalegno 3 L.M. Lever 4 J. Bushell 5 T. Lowe 6 A. Wallwork 7 P. Young 8 A. Lindemann 9 M. Schmidt 10 P.M. Mummery 11 0039974-08052018141622.pdf FusEngDes_Evans2015.pdf 2018-05-08T14:16:22.9170000 Output 2963970 application/pdf Version of Record true 2018-05-08T00:00:00.0000000 © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). true eng |
title |
Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data |
spellingShingle |
Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data Llion Evans |
title_short |
Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data |
title_full |
Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data |
title_fullStr |
Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data |
title_full_unstemmed |
Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data |
title_sort |
Transient thermal finite element analysis of CFC–Cu ITER monoblock using X-ray tomography data |
author_id_str_mv |
74dc5084c47484922a6e0135ebcb9402 |
author_id_fullname_str_mv |
74dc5084c47484922a6e0135ebcb9402_***_Llion Evans |
author |
Llion Evans |
author2 |
Llion Evans L. Margetts V. Casalegno L.M. Lever J. Bushell T. Lowe A. Wallwork P. Young A. Lindemann M. Schmidt P.M. Mummery |
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Journal article |
container_title |
Fusion Engineering and Design |
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100 |
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100 |
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2015 |
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Swansea University |
issn |
0920-3796 |
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10.1016/j.fusengdes.2015.04.048 |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering |
url |
https://www.sciencedirect.com/science/article/pii/S092037961500277X |
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description |
The thermal performance of a carbon fibre composite-copper monoblock, a sub-component of a fusion reactor divertor, was investigated by finite element analysis. High-accuracy simulations were created using an emerging technique, image-based finite element modelling, which converts X-ray tomography data into micro-structurally faithful models, capturing details such as manufacturing defects. For validation, a case study was performed where the thermal analysis by laser flash of a carbon fibre composite-copper disc was simulated such that computational and experimental results could be compared directly. Results showed that a high resolution image-based simulation (102 million elements of 32 μm width) provided increased accuracy over a low resolution image-based simulation (0.6 million elements of 194 μm width) and idealised computer aided design simulations. Using this technique to analyse a monoblock mock-up, it was possible to detect and quantify the effects of debonding regions at the carbon fibre composite-copper interface likely to impact both component performance and expected lifetime. These features would not have been accounted for in idealised computer aided design simulations. |
published_date |
2015-11-30T03:50:50Z |
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1763752490166124544 |
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11.037144 |