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Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling / Feras Korkees, Sue Alston, Cris Arnold

Polymer Composites, Volume: 39, Issue: S4, Pages: E2305 - E2315

Swansea University Authors: Feras Korkees, Sue Alston, Cris Arnold

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DOI (Published version): 10.1002/pc.24626

Abstract

Water diffusion into composites in different directions was examined in this study with the aim of determining the best way of measuring diffusion coefficients and to provide values to compare with model predictions. Water absorption behavior of unreinforced epoxy resins and carbon fiber reinforced...

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Published in: Polymer Composites
ISSN: 0272-8397
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa36153
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first_indexed 2017-10-18T19:04:03Z
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spelling 2021-01-14T12:57:13.6743068 v2 36153 2017-10-18 Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling 4d34f40e38537261da3ad49a0dd2be09 0000-0002-5131-6027 Feras Korkees Feras Korkees true false 031a3fc4df0b3c95331bd0fcef5cf708 0000-0003-0496-3296 Sue Alston Sue Alston true false 9f36b5062fc7093b5cbfc547cf452709 0000-0002-8937-1355 Cris Arnold Cris Arnold true false 2017-10-18 MTLS Water diffusion into composites in different directions was examined in this study with the aim of determining the best way of measuring diffusion coefficients and to provide values to compare with model predictions. Water absorption behavior of unreinforced epoxy resins and carbon fiber reinforced epoxy composite materials was investigated with long-term exposure to different environmental conditions. Initial Fickian absorption was observed followed by a slower second stage that continues for at least 3.7 years. Fiber architecture was found to be an important aspect of controlling absorption, where water diffusion along fibers was observed to be about three times faster than across the fibers and about seven times faster than through the thickness. A three-dimensional finite element computer model based on Fickian diffusion behavior was developed to predict the levels of moisture absorption under hot/humid environments. A multi-scale modeling approach was used which allowed the results of simulations at the micro-structural level to be used to predict the diffusivity in different directions. The modeled diffusion coefficients showed high dependency on the detailed micro-structure. Experimental results provided a baseline for the validation of the model, and it was found that these data could be closely predicted using a reasonable micro-structure characterization. Journal Article Polymer Composites 39 S4 E2305 E2315 0272-8397 6 12 2018 2018-12-06 10.1002/pc.24626 COLLEGE NANME Materials Science and Engineering COLLEGE CODE MTLS Swansea University 2021-01-14T12:57:13.6743068 2017-10-18T15:50:39.0799620 College of Engineering Engineering Feras Korkees 0000-0002-5131-6027 1 Sue Alston 0000-0003-0496-3296 2 Cris Arnold 0000-0002-8937-1355 3 0036153-19102017093911.pdf korkees2017.pdf 2017-10-19T09:39:11.3930000 Output 700324 application/pdf Accepted Manuscript true 2018-10-27T00:00:00.0000000 true eng
title Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling
spellingShingle Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling
Feras, Korkees
Sue, Alston
Cris, Arnold
title_short Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling
title_full Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling
title_fullStr Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling
title_full_unstemmed Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling
title_sort Directional diffusion of moisture into unidirectional carbon fiber/epoxy Composites: Experiments and modeling
author_id_str_mv 4d34f40e38537261da3ad49a0dd2be09
031a3fc4df0b3c95331bd0fcef5cf708
9f36b5062fc7093b5cbfc547cf452709
author_id_fullname_str_mv 4d34f40e38537261da3ad49a0dd2be09_***_Feras, Korkees
031a3fc4df0b3c95331bd0fcef5cf708_***_Sue, Alston
9f36b5062fc7093b5cbfc547cf452709_***_Cris, Arnold
author Feras, Korkees
Sue, Alston
Cris, Arnold
author2 Feras Korkees
Sue Alston
Cris Arnold
format Journal article
container_title Polymer Composites
container_volume 39
container_issue S4
container_start_page E2305
publishDate 2018
institution Swansea University
issn 0272-8397
doi_str_mv 10.1002/pc.24626
college_str College of Engineering
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hierarchy_parent_title College of Engineering
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description Water diffusion into composites in different directions was examined in this study with the aim of determining the best way of measuring diffusion coefficients and to provide values to compare with model predictions. Water absorption behavior of unreinforced epoxy resins and carbon fiber reinforced epoxy composite materials was investigated with long-term exposure to different environmental conditions. Initial Fickian absorption was observed followed by a slower second stage that continues for at least 3.7 years. Fiber architecture was found to be an important aspect of controlling absorption, where water diffusion along fibers was observed to be about three times faster than across the fibers and about seven times faster than through the thickness. A three-dimensional finite element computer model based on Fickian diffusion behavior was developed to predict the levels of moisture absorption under hot/humid environments. A multi-scale modeling approach was used which allowed the results of simulations at the micro-structural level to be used to predict the diffusivity in different directions. The modeled diffusion coefficients showed high dependency on the detailed micro-structure. Experimental results provided a baseline for the validation of the model, and it was found that these data could be closely predicted using a reasonable micro-structure characterization.
published_date 2018-12-06T03:58:03Z
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