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Compressive stress-electrical conductivity characteristics of multiwall carbon nanotube networks

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dc.title Compressive stress-electrical conductivity characteristics of multiwall carbon nanotube networks en
dc.contributor.author Slobodian, Petr
dc.contributor.author Lengálová, Anežka
dc.contributor.author Sáha, Petr
dc.contributor.author Říha, Pavel
dc.relation.ispartof Journal of Materials Science
dc.identifier.issn 0022-2461 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2010
utb.relation.volume 46
utb.relation.issue 9
dc.citation.spage 3186
dc.citation.epage 3190
dc.type article
dc.language.iso en
dc.publisher Springer-Verlag en
dc.identifier.doi 10.1007/s10853-010-5202-0
dc.relation.uri http://www.springerlink.com/content/n05726w455713205/
dc.subject MWCNT síť cs
dc.subject Elektrický odpor cs
dc.subject Efekt deformace cs
dc.subject Uhlíkový papír cs
dc.subject MWCNT network en
dc.subject Electric resistance en
dc.subject Strain effect en
dc.subject BuckyPaper en
dc.description.abstract A network of entangled multiwall carbon nanotubes is presented as a conductor whose conductivity is sensitive to compressive stress both in the course of monotonic stress growth and when loading/unloading cycles are imposed. The testing has shown as much as 100% network conductivity increase at the maximum applied stress. It indicates favorable properties of multiwall carbon nanotube networks for their use as stress-electric signal transducers. To model the conductivity-stress dependence, it is hypothesized that compression increases local contact forces between nanotubes, which results in more conductive contacts. The lack of detailed knowledge of the mechanism as well as an unclear shift from individual contacts to the whole network conductance behavior is circumvented with a statistical approach. In this respect, good data representation is reached using Weibull distribution for the description of distribution of nanotube contact resistance. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1001103
utb.identifier.rivid RIV/70883521:28110/11:63509268!RIV13-MSM-28110___
utb.identifier.obdid 43863479
utb.identifier.scopus 2-s2.0-79952102051
utb.identifier.wok 000287527600045
utb.source j-riv
dc.rights.access openAccess
utb.contributor.internalauthor Slobodian, Petr
utb.contributor.internalauthor Lengálová, Anežka
utb.contributor.internalauthor Sáha, Petr
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