Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method

Conductive polymer composites (CPCs) can be widely uses as electronic devices, artificial muscles, solar energy conversion, and sensors. Nevertheless, CPCs has a low electrical conductivity. Therefore this study focused to improved the electrical conductivity of CPCs by optimizing the internal mixin...

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Main Authors: Irmayani, Suherman, Hendra
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:http://journalarticle.ukm.my/11659/
http://journalarticle.ukm.my/11659/
http://journalarticle.ukm.my/11659/1/3.pdf
id ukm-11659
recordtype eprints
spelling ukm-116592018-05-18T00:18:23Z http://journalarticle.ukm.my/11659/ Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method Irmayani, Suherman, Hendra Conductive polymer composites (CPCs) can be widely uses as electronic devices, artificial muscles, solar energy conversion, and sensors. Nevertheless, CPCs has a low electrical conductivity. Therefore this study focused to improved the electrical conductivity of CPCs by optimizing the internal mixing parameter using Taguchi Method. Multiwall carbon nanotubes (MWCNTs) as secondary filler and synthetic graphite (SG) as primary filler use in this study. The CPCs composition are; 5 wt% MWCNTs; 75 wt% SG; 20 wt% epoxy resin as matrix. The internal mixing parameter applied as control factor in Taguchi Method analysis are mixing time, mixing temperature, and mixing rotation. Experiment was carried out based on orthogonal array design using these three internal mixing parameter. The results were analyzed using the signal to noise ratio (S/N) and analysis of variance (ANOVA). The percent contribution of each internal mixing parameters to the electrical conductivity of MWCNTs/SG/epoxy resin were mixing rotation (44%), mixing temperature (26%) and mixing time (18%). This was managed to reduce the number of voids and nano size particles conductive filler material (MWCNTs) more evenly dispersed in the epoxy resin. The optimum internal mixing parameters used to produce MWCNTs/SG/epoxy nanocomposites was effective to increase the electrical conductivity becomes 197 S/cm. Penerbit Universiti Kebangsaan Malaysia 2017 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11659/1/3.pdf Irmayani, and Suherman, Hendra (2017) Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method. Jurnal Kejuruteraan, 29 (2). pp. 79-85. ISSN 0128-0198 http://www.ukm.my/jkukm/in-press-volume-292-2017/
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institution_category Local University
institution Universiti Kebangasaan Malaysia
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collection Online Access
language English
description Conductive polymer composites (CPCs) can be widely uses as electronic devices, artificial muscles, solar energy conversion, and sensors. Nevertheless, CPCs has a low electrical conductivity. Therefore this study focused to improved the electrical conductivity of CPCs by optimizing the internal mixing parameter using Taguchi Method. Multiwall carbon nanotubes (MWCNTs) as secondary filler and synthetic graphite (SG) as primary filler use in this study. The CPCs composition are; 5 wt% MWCNTs; 75 wt% SG; 20 wt% epoxy resin as matrix. The internal mixing parameter applied as control factor in Taguchi Method analysis are mixing time, mixing temperature, and mixing rotation. Experiment was carried out based on orthogonal array design using these three internal mixing parameter. The results were analyzed using the signal to noise ratio (S/N) and analysis of variance (ANOVA). The percent contribution of each internal mixing parameters to the electrical conductivity of MWCNTs/SG/epoxy resin were mixing rotation (44%), mixing temperature (26%) and mixing time (18%). This was managed to reduce the number of voids and nano size particles conductive filler material (MWCNTs) more evenly dispersed in the epoxy resin. The optimum internal mixing parameters used to produce MWCNTs/SG/epoxy nanocomposites was effective to increase the electrical conductivity becomes 197 S/cm.
format Article
author Irmayani,
Suherman, Hendra
spellingShingle Irmayani,
Suherman, Hendra
Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method
author_facet Irmayani,
Suherman, Hendra
author_sort Irmayani,
title Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method
title_short Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method
title_full Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method
title_fullStr Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method
title_full_unstemmed Optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using Taguchi method
title_sort optimization of internal mixing parameter on the electrical conductivity of multiwall carbon nanotubes/synthetic graphite/epoxy nanocomposites for conductive polymer composites using taguchi method
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2017
url http://journalarticle.ukm.my/11659/
http://journalarticle.ukm.my/11659/
http://journalarticle.ukm.my/11659/1/3.pdf
first_indexed 2023-09-18T20:00:51Z
last_indexed 2023-09-18T20:00:51Z
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