Journal article 880 views
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes
Physica E: Low-dimensional Systems and Nanostructures, Volume: 83, Pages: 434 - 441
Swansea University Author: Sondipon Adhikari
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DOI (Published version): 10.1016/j.physe.2016.01.021
Abstract
With the aid of atomistic multiscale modelling and analytical approaches, buckling strength has been determined for carbon nanofibres/epoxy composite systems. Various nanofibres configurations considered are single walled carbon nano tube (SWCNT) and single layer graphene sheet (SLGS) and SLGS/SWCNT...
Published in: | Physica E: Low-dimensional Systems and Nanostructures |
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ISSN: | 1386-9477 |
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2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa32191 |
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2017-03-02T10:11:13.4287949 v2 32191 2017-03-01 Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes 4ea84d67c4e414f5ccbd7593a40f04d3 0000-0003-4181-3457 Sondipon Adhikari Sondipon Adhikari true false 2017-03-01 ACEM With the aid of atomistic multiscale modelling and analytical approaches, buckling strength has been determined for carbon nanofibres/epoxy composite systems. Various nanofibres configurations considered are single walled carbon nano tube (SWCNT) and single layer graphene sheet (SLGS) and SLGS/SWCNT hybrid systems. Computationally, both eigen-value and non-linear large deformation-based methods have been employed to calculate the buckling strength. The non-linear computational model generated here takes into account of complex features such as debonding between polymer and filler (delamination under compression), nonlinearity in the polymer, strain-based damage criteria for the matrix, contact between fillers and interlocking of distorted filler surfaces with polymer. The effect of bridging nanofibres with an interlinking compound on the buckling strength of nano-composites has also been presented here. Computed enhancement in buckling strength of the polymer system due to nano reinforcement is found to be in the range of experimental and molecular dynamics based results available in open literature. The findings of this work indicate that carbon based nanofillers enhance the buckling strength of host polymers through various local failure mechanisms. Journal Article Physica E: Low-dimensional Systems and Nanostructures 83 434 441 1386-9477 Graphene sheets; Carbon nano tubes (CNT); Hybrid nano-composites; Atomistic model; Graphene; CNT-based composites 30 9 2016 2016-09-30 10.1016/j.physe.2016.01.021 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000380221400060&KeyUID=WOS:000380221400060 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2017-03-02T10:11:13.4287949 2017-03-01T11:12:54.9088480 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Y. Chandra 1 E. I. Saavedra Flores 2 F. Scarpa 3 S. Adhikari 4 Sondipon Adhikari 0000-0003-4181-3457 5 |
title |
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes |
spellingShingle |
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes Sondipon Adhikari |
title_short |
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes |
title_full |
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes |
title_fullStr |
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes |
title_full_unstemmed |
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes |
title_sort |
Buckling of hybrid nanocomposites with embedded graphene and carbon nanotubes |
author_id_str_mv |
4ea84d67c4e414f5ccbd7593a40f04d3 |
author_id_fullname_str_mv |
4ea84d67c4e414f5ccbd7593a40f04d3_***_Sondipon Adhikari |
author |
Sondipon Adhikari |
author2 |
Y. Chandra E. I. Saavedra Flores F. Scarpa S. Adhikari Sondipon Adhikari |
format |
Journal article |
container_title |
Physica E: Low-dimensional Systems and Nanostructures |
container_volume |
83 |
container_start_page |
434 |
publishDate |
2016 |
institution |
Swansea University |
issn |
1386-9477 |
doi_str_mv |
10.1016/j.physe.2016.01.021 |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
url |
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000380221400060&KeyUID=WOS:000380221400060 |
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description |
With the aid of atomistic multiscale modelling and analytical approaches, buckling strength has been determined for carbon nanofibres/epoxy composite systems. Various nanofibres configurations considered are single walled carbon nano tube (SWCNT) and single layer graphene sheet (SLGS) and SLGS/SWCNT hybrid systems. Computationally, both eigen-value and non-linear large deformation-based methods have been employed to calculate the buckling strength. The non-linear computational model generated here takes into account of complex features such as debonding between polymer and filler (delamination under compression), nonlinearity in the polymer, strain-based damage criteria for the matrix, contact between fillers and interlocking of distorted filler surfaces with polymer. The effect of bridging nanofibres with an interlinking compound on the buckling strength of nano-composites has also been presented here. Computed enhancement in buckling strength of the polymer system due to nano reinforcement is found to be in the range of experimental and molecular dynamics based results available in open literature. The findings of this work indicate that carbon based nanofillers enhance the buckling strength of host polymers through various local failure mechanisms. |
published_date |
2016-09-30T19:11:26Z |
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1821433854951424000 |
score |
11.047609 |