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Image based in silico characterisation of the effective thermal properties of a graphite foam / Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, Llion Evans

Carbon, Volume: 143, Pages: 542 - 558

Swansea University Author: Llion Evans

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Abstract

Functional materials' properties are influenced by microstructures which can be changed during manufacturing. A technique is presented which digitises graphite foam via X-ray tomography and converts it into image-based models to determine properties in silico. By simulating a laser flash analys...

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Published in: Carbon
ISSN: 00086223
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa44838
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first_indexed 2018-10-10T20:36:20Z
last_indexed 2019-10-18T14:12:17Z
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spelling 2019-10-18T11:58:04.8337124 v2 44838 2018-10-10 Image based in silico characterisation of the effective thermal properties of a graphite foam 74dc5084c47484922a6e0135ebcb9402 0000-0002-4964-4187 Llion Evans Llion Evans true false 2018-10-10 MECH Functional materials' properties are influenced by microstructures which can be changed during manufacturing. A technique is presented which digitises graphite foam via X-ray tomography and converts it into image-based models to determine properties in silico. By simulating a laser flash analysis its effective thermal conductivity is predicted. Results show ∼1% error in the direction the foam was ‘grown’ during manufacturing but is significantly less accurate in plane due to effective thermal conductivity resulting from both the foam's microstructure and graphite's crystalline structure. An empirical relationship is found linking these by using a law of mixtures. A case study is presented demonstrating the technique's use to simulate a heat exchanger component containing graphite foam with micro-scale accuracy using literature material properties for solid graphite. Compared against conventional finite element modelling there is no requirement to firstly experimentally measure the foam's effective bulk properties. Additionally, improved local accuracy is achieved due to exact location of contact between the foam and other parts of the component. This capability will be of interest in design and manufacture of components using graphite materials. The software used was developed by the authors and is open source for others to undertake similar studies. Journal Article Carbon 143 542 558 00086223 X-ray tomography, Graphite foam, Image-based modelling, Finite element method, Virtual characterisation, Thermal conductivity 31 3 2019 2019-03-31 10.1016/j.carbon.2018.10.031 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University UKRI, EP/R012091/1 2019-10-18T11:58:04.8337124 2018-10-10T14:17:14.8045482 College of Engineering Engineering Ll.M. Evans 1 L. Margetts 2 P.D. Lee 3 C.A.M. Butler 4 E. Surrey 5 Llion Evans 0000-0002-4964-4187 6 0044838-11032019103311.pdf 44838.pdf 2019-03-11T10:33:11.7500000 Output 3131745 application/pdf Version of Record true 2019-03-10T00:00:00.0000000 Released under the terms of a Creative Commons Attribution License (CC-BY). true eng
title Image based in silico characterisation of the effective thermal properties of a graphite foam
spellingShingle Image based in silico characterisation of the effective thermal properties of a graphite foam
Llion, Evans
title_short Image based in silico characterisation of the effective thermal properties of a graphite foam
title_full Image based in silico characterisation of the effective thermal properties of a graphite foam
title_fullStr Image based in silico characterisation of the effective thermal properties of a graphite foam
title_full_unstemmed Image based in silico characterisation of the effective thermal properties of a graphite foam
title_sort Image based in silico characterisation of the effective thermal properties of a graphite foam
author_id_str_mv 74dc5084c47484922a6e0135ebcb9402
author_id_fullname_str_mv 74dc5084c47484922a6e0135ebcb9402_***_Llion, Evans
author Llion, Evans
author2 Ll.M. Evans
L. Margetts
P.D. Lee
C.A.M. Butler
E. Surrey
Llion Evans
format Journal article
container_title Carbon
container_volume 143
container_start_page 542
publishDate 2019
institution Swansea University
issn 00086223
doi_str_mv 10.1016/j.carbon.2018.10.031
college_str College of Engineering
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hierarchy_top_id collegeofengineering
hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
document_store_str 1
active_str 0
description Functional materials' properties are influenced by microstructures which can be changed during manufacturing. A technique is presented which digitises graphite foam via X-ray tomography and converts it into image-based models to determine properties in silico. By simulating a laser flash analysis its effective thermal conductivity is predicted. Results show ∼1% error in the direction the foam was ‘grown’ during manufacturing but is significantly less accurate in plane due to effective thermal conductivity resulting from both the foam's microstructure and graphite's crystalline structure. An empirical relationship is found linking these by using a law of mixtures. A case study is presented demonstrating the technique's use to simulate a heat exchanger component containing graphite foam with micro-scale accuracy using literature material properties for solid graphite. Compared against conventional finite element modelling there is no requirement to firstly experimentally measure the foam's effective bulk properties. Additionally, improved local accuracy is achieved due to exact location of contact between the foam and other parts of the component. This capability will be of interest in design and manufacture of components using graphite materials. The software used was developed by the authors and is open source for others to undertake similar studies.
published_date 2019-03-31T04:05:39Z
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