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Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites

The awareness on sustainability of the environment among the researchers leads to the exploration of natural fiber composite materials. Hybridization of synthetic fiber and natural fiber is one of the potential strategies to enhance the mechanical properties as well as the degradability of suc...

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Main Authors: Mohamad Badari, Siti Norbahiyah, Sarifuddin, Norshahida, Mohd Ali, Afifah, Hamdan Shahruhil, Nurul Atikah, Mohd Daud, Farah Diana, Mohd Zaki, Hafizah Hanim
Format: Article
Language:English
English
Published: Trans Tech Publications Ltd 2022
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/98042/1/98042_Prediction%20and%20optimization%20on%20tribological.pdf
http://irep.iium.edu.my/98042/2/98042_Prediction%20and%20optimization%20on%20tribological_SCOPUS.pdf
http://irep.iium.edu.my/98042/
https://www.scientific.net/KEM.908.3
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spelling my.iium.irep.980422022-05-25T08:55:43Z http://irep.iium.edu.my/98042/ Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites Mohamad Badari, Siti Norbahiyah Sarifuddin, Norshahida Mohd Ali, Afifah Hamdan Shahruhil, Nurul Atikah Mohd Daud, Farah Diana Mohd Zaki, Hafizah Hanim T Technology (General) The awareness on sustainability of the environment among the researchers leads to the exploration of natural fiber composite materials. Hybridization of synthetic fiber and natural fiber is one of the potential strategies to enhance the mechanical properties as well as the degradability of such composite materials. However, less information concerning the optimization of tribological properties of this hybrid composite is available in literature. The aim of this study is to propose a statistical model to predict and optimize wear and coefficient of friction of kenaf/carbon reinforced epoxy composite. The value of parameters; load and sliding velocity ranges from 10 to 30 N and 20.9 to 52.3 m/s, respectively, are used to assess wear and coefficient of friction (COF) of different stacking sequences using the Analysis of Variance (ANOVA). The tribological test was conducted using a pin-on-disc tribometer. Multifactorial design analysis was employed to optimize the test control variables. It was found that, the optimized factors that affects the coefficient of friction and wear is at load 30 N and sliding velocity of 52.36 m/s. The proposed statistical models for wear and COF have 99.5% and 97.6% reliability, respectively. The generated equation models are bounded within the wear test control factors and ranges. The outcome from this study will be very useful for main parameter prediction for an optimized wear and COF Trans Tech Publications Ltd 2022 Article PeerReviewed application/pdf en http://irep.iium.edu.my/98042/1/98042_Prediction%20and%20optimization%20on%20tribological.pdf application/pdf en http://irep.iium.edu.my/98042/2/98042_Prediction%20and%20optimization%20on%20tribological_SCOPUS.pdf Mohamad Badari, Siti Norbahiyah and Sarifuddin, Norshahida and Mohd Ali, Afifah and Hamdan Shahruhil, Nurul Atikah and Mohd Daud, Farah Diana and Mohd Zaki, Hafizah Hanim (2022) Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites. Key Engineering Materials, 908. pp. 3-8. ISSN 1662-9795 https://www.scientific.net/KEM.908.3 10.4028/p-j27v8q
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Mohamad Badari, Siti Norbahiyah
Sarifuddin, Norshahida
Mohd Ali, Afifah
Hamdan Shahruhil, Nurul Atikah
Mohd Daud, Farah Diana
Mohd Zaki, Hafizah Hanim
Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites
description The awareness on sustainability of the environment among the researchers leads to the exploration of natural fiber composite materials. Hybridization of synthetic fiber and natural fiber is one of the potential strategies to enhance the mechanical properties as well as the degradability of such composite materials. However, less information concerning the optimization of tribological properties of this hybrid composite is available in literature. The aim of this study is to propose a statistical model to predict and optimize wear and coefficient of friction of kenaf/carbon reinforced epoxy composite. The value of parameters; load and sliding velocity ranges from 10 to 30 N and 20.9 to 52.3 m/s, respectively, are used to assess wear and coefficient of friction (COF) of different stacking sequences using the Analysis of Variance (ANOVA). The tribological test was conducted using a pin-on-disc tribometer. Multifactorial design analysis was employed to optimize the test control variables. It was found that, the optimized factors that affects the coefficient of friction and wear is at load 30 N and sliding velocity of 52.36 m/s. The proposed statistical models for wear and COF have 99.5% and 97.6% reliability, respectively. The generated equation models are bounded within the wear test control factors and ranges. The outcome from this study will be very useful for main parameter prediction for an optimized wear and COF
format Article
author Mohamad Badari, Siti Norbahiyah
Sarifuddin, Norshahida
Mohd Ali, Afifah
Hamdan Shahruhil, Nurul Atikah
Mohd Daud, Farah Diana
Mohd Zaki, Hafizah Hanim
author_facet Mohamad Badari, Siti Norbahiyah
Sarifuddin, Norshahida
Mohd Ali, Afifah
Hamdan Shahruhil, Nurul Atikah
Mohd Daud, Farah Diana
Mohd Zaki, Hafizah Hanim
author_sort Mohamad Badari, Siti Norbahiyah
title Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites
title_short Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites
title_full Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites
title_fullStr Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites
title_full_unstemmed Prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites
title_sort prediction and optimization on tribological behaviour of kenaf/carbon fiber reinforced epoxy matrix hybrid composites
publisher Trans Tech Publications Ltd
publishDate 2022
url http://irep.iium.edu.my/98042/1/98042_Prediction%20and%20optimization%20on%20tribological.pdf
http://irep.iium.edu.my/98042/2/98042_Prediction%20and%20optimization%20on%20tribological_SCOPUS.pdf
http://irep.iium.edu.my/98042/
https://www.scientific.net/KEM.908.3
_version_ 1734299978277322752
score 13.211869

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