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dc.contributor.author장승환-
dc.date.accessioned2023-12-21T07:17:50Z-
dc.date.available2023-12-21T07:17:50Z-
dc.date.issued2023-10-
dc.identifier.citationComposites Science and Technology, v. 243, article no. 110242, Page. 1.0-9.0-
dc.identifier.issn0266-3538;1879-1050-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0266353823003366?pes=voren_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/187655-
dc.description.abstractA 3D Monte Carlo method paired with a percolation model is carried out to predict the electrical resistivity and piezoresistive sensitivity of carbon nanotube (CNT)-polymer piezoresistive sensors. CNTs are randomly dispersed into the insulating layer of a polymer matrix having agglomerated morphologies in some parts. The electrical resistivity of nanocomposite with a defined agglomeration state is determined by considering the tunneling effect between each connected pair of CNTs. The influence of various parameters such as agglomeration radius, percentage, intrinsic properties and geometries of CNTs are investigated. A comparison was made between the analytical results and experimental data. Considering the tunneling behavior in the vicinity of the percolation transition, a good agreement is obtained between the analytical results and experimental data. Monte Carlo simulations indicated that the tunneling resistance with a random distribution of CNTs depends on the level of agglomeration. Results revealed that piezoresistive sensitivity was diminished by larger agglomerations. © 2023 Elsevier Ltd-
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1C1C1005273 ).-
dc.languageen-
dc.publisherElsevier Ltd-
dc.subjectCNT-
dc.subjectMonte Carlo method-
dc.subjectPiezoresistivity-
dc.subjectPolymer-
dc.subjectTunneling conductivity-
dc.titleSimulation of the role of agglomerations in the tunneling conductivity of polymer/carbon nanotube piezoresistive strain sensors-
dc.typeArticle-
dc.relation.volume243-
dc.identifier.doi10.1016/j.compscitech.2023.110242-
dc.relation.page1.0-9.0-
dc.relation.journalComposites Science and Technology-
dc.contributor.googleauthorHaghgoo, Mojtaba-
dc.contributor.googleauthorAnsari, Reza-
dc.contributor.googleauthorHassanzadeh-Aghdam, Mohammad Kazem-
dc.contributor.googleauthorJang, Sung-Hwan-
dc.contributor.googleauthorNankali, Mohammad-
dc.sector.campusE-
dc.sector.daehak공학대학-
dc.sector.department건설환경공학과-
dc.identifier.pidsj2527-
dc.identifier.article110242-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
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