Calculation of electrical conductivity of self-sensing carbon nanotube composites
| dc.contributor.author | Fang, Y | |
| dc.contributor.author | Li, Long-yuan | |
| dc.contributor.author | Jang, S-H | |
| dc.date.accessioned | 2020-07-28T09:46:10Z | |
| dc.date.available | 2020-07-28T09:46:10Z | |
| dc.date.issued | 2020-07-28 | |
| dc.identifier.issn | 1359-8368 | |
| dc.identifier.issn | 1879-1069 | |
| dc.identifier.other | 108314 | |
| dc.identifier.uri | http://hdl.handle.net/10026.1/16112 | |
| dc.description.abstract |
This paper presents an analytical study on the electrical conductivity of composites whose constituted materials have distinct electrical properties. The present study investigates the effect of the aspect ratio of inclusions on the effective electrical conductivity of composites. Formulations are derived for determining the percolation threshold and calculating the electrical conductivity of composites with considering aspect ratio effect. The validation of the present model is also provided by using available experimental data. The present analytical model can be applied to predict the electrical behaviour of carbon-nanotube fibre reinforced polymer composites. | |
| dc.format.extent | 108314-108314 | |
| dc.language | en | |
| dc.language.iso | en | |
| dc.publisher | Elsevier BV | |
| dc.subject | Carbon nanotubes | |
| dc.subject | Electrical conductivity | |
| dc.subject | Composites | |
| dc.subject | Percolation threshold | |
| dc.subject | Modelling | |
| dc.title | Calculation of electrical conductivity of self-sensing carbon nanotube composites | |
| dc.type | journal-article | |
| dc.type | Journal Article | |
| plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000571762800004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
| plymouth.volume | 199 | |
| plymouth.publication-status | Published | |
| plymouth.journal | Composites Part B: Engineering | |
| dc.identifier.doi | 10.1016/j.compositesb.2020.108314 | |
| plymouth.organisational-group | /Plymouth | |
| plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
| plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
| plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
| plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
| plymouth.organisational-group | /Plymouth/Research Groups | |
| plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
| plymouth.organisational-group | /Plymouth/Users by role | |
| plymouth.organisational-group | /Plymouth/Users by role/Academics | |
| dcterms.dateAccepted | 2020-07-20 | |
| dc.rights.embargodate | 2021-7-28 | |
| dc.identifier.eissn | 1879-1069 | |
| dc.rights.embargoperiod | Not known | |
| rioxxterms.versionofrecord | 10.1016/j.compositesb.2020.108314 | |
| rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
| rioxxterms.licenseref.startdate | 2020-07-28 | |
| rioxxterms.type | Journal Article/Review |
