A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer

© 2017 Walter de Gruyter GmbH, Berlin/Boston. Some variation in the topological distribution of fibers inside the matrix phase of fiber reinforced polymers (FRP) is inevitable. Such irregularities can accelerate moisture diffusion and adversely affect the life of FRP. This paper presents a hierarchi...

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Main Authors: Jain, D., Mukherjee, Abhijit, Bera, T.
Format: Journal Article
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/65748
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author Jain, D.
Mukherjee, Abhijit
Bera, T.
author_facet Jain, D.
Mukherjee, Abhijit
Bera, T.
author_sort Jain, D.
building Curtin Institutional Repository
collection Online Access
description © 2017 Walter de Gruyter GmbH, Berlin/Boston. Some variation in the topological distribution of fibers inside the matrix phase of fiber reinforced polymers (FRP) is inevitable. Such irregularities can accelerate moisture diffusion and adversely affect the life of FRP. This paper presents a hierarchical technique for characterization of clustered microstructures and their transient moisture diffusion response. The clustering descriptors are derived for different fiber volume fractions (dilute to dense) for the quantitative definition of a given fiber matrix architecture. The metrics are normalized to remove dependence on volume fraction. The microstructures are analyzed for Fickian moisture diffusion. Suggested descriptors show a good correlation with transient diffusion response in relation to saturation time. The results can be used to predict the time-dependent moisture diffusion response of FRPs for any given fiber volume fraction.
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institution Curtin University Malaysia
institution_category Local University
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publishDate 2017
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spelling curtin-20.500.11937-657482018-02-19T08:06:30Z A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer Jain, D. Mukherjee, Abhijit Bera, T. © 2017 Walter de Gruyter GmbH, Berlin/Boston. Some variation in the topological distribution of fibers inside the matrix phase of fiber reinforced polymers (FRP) is inevitable. Such irregularities can accelerate moisture diffusion and adversely affect the life of FRP. This paper presents a hierarchical technique for characterization of clustered microstructures and their transient moisture diffusion response. The clustering descriptors are derived for different fiber volume fractions (dilute to dense) for the quantitative definition of a given fiber matrix architecture. The metrics are normalized to remove dependence on volume fraction. The microstructures are analyzed for Fickian moisture diffusion. Suggested descriptors show a good correlation with transient diffusion response in relation to saturation time. The results can be used to predict the time-dependent moisture diffusion response of FRPs for any given fiber volume fraction. 2017 Journal Article http://hdl.handle.net/20.500.11937/65748 10.1515/secm-2016-0063 restricted
spellingShingle Jain, D.
Mukherjee, Abhijit
Bera, T.
A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer
title A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer
title_full A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer
title_fullStr A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer
title_full_unstemmed A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer
title_short A novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer
title_sort novel characterization method of fiber reinforced polymers with clustered microstructures for time dependent mass transfer
url http://hdl.handle.net/20.500.11937/65748