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A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion

A systematic evaluation tool for natural fibers’ capabilities based on moisture content criterion (MCC) was developed and introduced as a new evaluation method. This MCC evaluation tool is designed to predict the behavior of the available natural fibers regarding distinctive desirable characteristic...

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Main Authors: Al-Oqla, Faris M., Salit, Mohd Sapuan, Ishak, Mohamad Ridzwan, Abd. Aziz, Nuraini
Format: Article
Language:English
Published: North Carolina State University 2015
Online Access:http://psasir.upm.edu.my/id/eprint/43537/1/A%20novel%20evaluation%20tool%20for%20enhancing%20the%20selection%20of%20natural%20fibers%20for%20polymeric%20composites%20based%20on%20fiber%20moisture%20content%20criterion.pdf
http://psasir.upm.edu.my/id/eprint/43537/
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spelling my.upm.eprints.435372016-06-29T03:07:02Z http://psasir.upm.edu.my/id/eprint/43537/ A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion Al-Oqla, Faris M. Salit, Mohd Sapuan Ishak, Mohamad Ridzwan Abd. Aziz, Nuraini A systematic evaluation tool for natural fibers’ capabilities based on moisture content criterion (MCC) was developed and introduced as a new evaluation method. This MCC evaluation tool is designed to predict the behavior of the available natural fibers regarding distinctive desirable characteristics under the effect of the moisture absorption phenomenon. Here, the capabilities of different natural fiber types commonly used in industry, in addition to date palm fibers, were systematically investigated based on MCC. The results demonstrated that MCC is capable of predicting the relative reduction of fiber performance regarding a particular beneficial property because of the effect of moisture absorption. The strong agreements between the predicted values of MCC and results reported in the literature verify its usefulness as an evaluation tool and demonstrate its added value steps in predicting the relative behavior of fibers with a minimal range of errors compared with experimental measurements. Therefore, MCC is capable of better evaluating natural fibers regarding distinctive criteria in a systematic manner, leading to more realistic decisions about their capabilities and therefore enhancing the selection process for both better sustainable design possibilities and industrial product development. North Carolina State University 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43537/1/A%20novel%20evaluation%20tool%20for%20enhancing%20the%20selection%20of%20natural%20fibers%20for%20polymeric%20composites%20based%20on%20fiber%20moisture%20content%20criterion.pdf Al-Oqla, Faris M. and Salit, Mohd Sapuan and Ishak, Mohamad Ridzwan and Abd. Aziz, Nuraini (2015) A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion. BioResources, 10 (1). pp. 299-312. ISSN 1930-2126 10.15376/biores.10.1.299-312
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description A systematic evaluation tool for natural fibers’ capabilities based on moisture content criterion (MCC) was developed and introduced as a new evaluation method. This MCC evaluation tool is designed to predict the behavior of the available natural fibers regarding distinctive desirable characteristics under the effect of the moisture absorption phenomenon. Here, the capabilities of different natural fiber types commonly used in industry, in addition to date palm fibers, were systematically investigated based on MCC. The results demonstrated that MCC is capable of predicting the relative reduction of fiber performance regarding a particular beneficial property because of the effect of moisture absorption. The strong agreements between the predicted values of MCC and results reported in the literature verify its usefulness as an evaluation tool and demonstrate its added value steps in predicting the relative behavior of fibers with a minimal range of errors compared with experimental measurements. Therefore, MCC is capable of better evaluating natural fibers regarding distinctive criteria in a systematic manner, leading to more realistic decisions about their capabilities and therefore enhancing the selection process for both better sustainable design possibilities and industrial product development.
format Article
author Al-Oqla, Faris M.
Salit, Mohd Sapuan
Ishak, Mohamad Ridzwan
Abd. Aziz, Nuraini
spellingShingle Al-Oqla, Faris M.
Salit, Mohd Sapuan
Ishak, Mohamad Ridzwan
Abd. Aziz, Nuraini
A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion
author_facet Al-Oqla, Faris M.
Salit, Mohd Sapuan
Ishak, Mohamad Ridzwan
Abd. Aziz, Nuraini
author_sort Al-Oqla, Faris M.
title A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion
title_short A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion
title_full A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion
title_fullStr A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion
title_full_unstemmed A novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion
title_sort novel evaluation tool for enhancing the selection of natural fibres for polymeric composites based on fiber moisture content criterion
publisher North Carolina State University
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/43537/1/A%20novel%20evaluation%20tool%20for%20enhancing%20the%20selection%20of%20natural%20fibers%20for%20polymeric%20composites%20based%20on%20fiber%20moisture%20content%20criterion.pdf
http://psasir.upm.edu.my/id/eprint/43537/
_version_ 1643833595463204864
score 13.211869

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