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Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP)

This research investigated the effect of adding different wt.% (0, 0.25, 0.50, and 0.75) of GNP (graphene nanoplatelets) to improve the mechanical and moisture resistant properties of Kevlar (K)/cocos nucifera sheath (CS)/epoxy hybrid composites. The laminates were fabricated with different K/CS wei...

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Main Authors: Naveen, Jesuarockiam, Jawaid, Mohammad, Zainudin, Edi Syams, Hameed Sultan, Mohamed Thariq, Yahaya, Ridwan
格式: Article
語言:English
出版: MDPI 2019
在線閱讀:http://psasir.upm.edu.my/id/eprint/38396/1/38396.pdf
http://psasir.upm.edu.my/id/eprint/38396/
https://www.mdpi.com/1996-1944/12/8/1249
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spelling my.upm.eprints.383962020-05-04T16:27:35Z http://psasir.upm.edu.my/id/eprint/38396/ Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP) Naveen, Jesuarockiam Jawaid, Mohammad Zainudin, Edi Syams Hameed Sultan, Mohamed Thariq Yahaya, Ridwan This research investigated the effect of adding different wt.% (0, 0.25, 0.50, and 0.75) of GNP (graphene nanoplatelets) to improve the mechanical and moisture resistant properties of Kevlar (K)/cocos nucifera sheath (CS)/epoxy hybrid composites. The laminates were fabricated with different K/CS weight ratios such as 100/0 (S1), 75/25 (S2), 50/50 (S3), 25/75 (S4), and 0/100 (S5). The results revealed that the addition of GNP improved the tensile, flexural, and impact properties of laminated composites. However, the optimal wt.% of GNP varies with different laminates. A moisture diffusion analysis showed that the laminates with a 0.25 wt.% of GNP content efficiently hindered water uptake by closing all the unoccupied pores inside the laminate. Morphological investigations (SEM and FE-SEM (Field Emission Scanning Electron Microscope)) proved that the addition of GNP improved the interfacial adhesion and dispersion. Structural (XRD and FTIR) analyses reveals that at 0.25 wt.% of GNP, all the hybrid composites showed a better crystallinity index and the functional groups presents in the GNP can form strong interactions with the fibers and matrix. A statistical analysis was performed using One-way ANOVA, and it corroborates that the mechanical properties of different laminates showed a statistically significant difference. Hence, these GNP-modified epoxy hybrid composites can be efficiently utilized in load-bearing structures. MDPI 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38396/1/38396.pdf Naveen, Jesuarockiam and Jawaid, Mohammad and Zainudin, Edi Syams and Hameed Sultan, Mohamed Thariq and Yahaya, Ridwan (2019) Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP). Materials, 12 (8). art. no. 1249. pp. 1-18. ISSN 1996-1944 https://www.mdpi.com/1996-1944/12/8/1249 10.3390/ma12081249
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 This research investigated the effect of adding different wt.% (0, 0.25, 0.50, and 0.75) of GNP (graphene nanoplatelets) to improve the mechanical and moisture resistant properties of Kevlar (K)/cocos nucifera sheath (CS)/epoxy hybrid composites. The laminates were fabricated with different K/CS weight ratios such as 100/0 (S1), 75/25 (S2), 50/50 (S3), 25/75 (S4), and 0/100 (S5). The results revealed that the addition of GNP improved the tensile, flexural, and impact properties of laminated composites. However, the optimal wt.% of GNP varies with different laminates. A moisture diffusion analysis showed that the laminates with a 0.25 wt.% of GNP content efficiently hindered water uptake by closing all the unoccupied pores inside the laminate. Morphological investigations (SEM and FE-SEM (Field Emission Scanning Electron Microscope)) proved that the addition of GNP improved the interfacial adhesion and dispersion. Structural (XRD and FTIR) analyses reveals that at 0.25 wt.% of GNP, all the hybrid composites showed a better crystallinity index and the functional groups presents in the GNP can form strong interactions with the fibers and matrix. A statistical analysis was performed using One-way ANOVA, and it corroborates that the mechanical properties of different laminates showed a statistically significant difference. Hence, these GNP-modified epoxy hybrid composites can be efficiently utilized in load-bearing structures.
format Article
author Naveen, Jesuarockiam
Jawaid, Mohammad
Zainudin, Edi Syams
Hameed Sultan, Mohamed Thariq
Yahaya, Ridwan
spellingShingle Naveen, Jesuarockiam
Jawaid, Mohammad
Zainudin, Edi Syams
Hameed Sultan, Mohamed Thariq
Yahaya, Ridwan
Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP)
author_facet Naveen, Jesuarockiam
Jawaid, Mohammad
Zainudin, Edi Syams
Hameed Sultan, Mohamed Thariq
Yahaya, Ridwan
author_sort Naveen, Jesuarockiam
title Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP)
title_short Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP)
title_full Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP)
title_fullStr Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP)
title_full_unstemmed Improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (GNP)
title_sort improved mechanical and moisture-resistant properties of woven hybrid epoxy composites by graphene nanoplatelets (gnp)
publisher MDPI
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/38396/1/38396.pdf
http://psasir.upm.edu.my/id/eprint/38396/
https://www.mdpi.com/1996-1944/12/8/1249
_version_ 1665895982259240960
score 13.251813

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