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dc.contributor.authorMora Cordova, Angel
dc.contributor.authorHan, Fei
dc.contributor.authorLubineau, Gilles
dc.date.accessioned2018-05-29T11:09:56Z
dc.date.available2018-05-29T11:09:56Z
dc.date.issued2018-05-22
dc.identifier.citationMora A, Han F, Lubineau G (2018) Estimating and understanding the efficiency of nanoparticles in enhancing the conductivity of carbon nanotube/polymer composites. Results in Physics 10: 81–90. Available: http://dx.doi.org/10.1016/j.rinp.2018.05.019.
dc.identifier.issn2211-3797
dc.identifier.doi10.1016/j.rinp.2018.05.019
dc.identifier.urihttp://hdl.handle.net/10754/627972
dc.description.abstractCarbon nanotubes (CNTs) have been widely used to improve the electrical conductivity of polymers. However, not all CNTs actively participate in the conduction of electricity since they have to be close to each other to form a conductive network. The amount of active CNTs is rarely discussed as it is not captured by percolation theory. However, this amount is a very important information that could be used in a definition of loading efficiency for CNTs (and, in general, for any nanofiller). Thus, we develop a computational tool to quantify the amount of CNTs that actively participates in the conductive network. We then use this quantity to propose a definition of loading efficiency. We compare our results with an expression presented in the literature for the fraction of percolated CNTs (although not presented as a definition of efficiency). We found that this expression underestimates the fraction of percolated CNTs. We thus propose an improved estimation. We also study how efficiency changes with CNT loading and the CNT aspect ratio. We use this concept to study the size of the representative volume element (RVE) for polymers loaded with CNTs, which has received little attention in the past. Here, we find the size of RVE based on both loading efficiency and electrical conductivity such that the scales of “morphological” and “functional” RVEs can be compared. Additionally, we study the relations between particle and network properties (such as efficiency, CNT conductivity and junction resistance) and the conductivity of CNT/polymer composites. We present a series of recommendations to improve the conductivity of a composite based on our simulation results.
dc.description.sponsorshipThe research reported in this publication was funded by King Abdullah University of Science and Technology (KAUST).
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S2211379718309306
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Results in Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Results in Physics, [, , (2018-05-22)] DOI: 10.1016/j.rinp.2018.05.019 . © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCarbon nanotube
dc.subjectComposites
dc.subjectElectrical conductivity
dc.subjectRepresentative volume element
dc.subjectGeometric modeling
dc.titleEstimating and understanding the efficiency of nanoparticles in enhancing the conductivity of carbon nanotube/polymer composites
dc.typeArticle
dc.contributor.departmentComposite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS)
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalResults in Physics
dc.eprint.versionPublisher's Version/PDF
kaust.personMora Cordova, Angel
kaust.personHan, Fei
kaust.personLubineau, Gilles
refterms.dateFOA2018-06-13T10:28:35Z
dc.date.published-online2018-05-22
dc.date.published-print2018-09


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