Literature DB >> 21817619

Strain-dependent electrical resistance of multi-walled carbon nanotube/polymer composite films.

Myounggu Park1, Hyonny Kim, Jeffrey P Youngblood.   

Abstract

The strain-dependent electrical resistance characteristics of multi-walled carbon nanotube (MWCNT)/polymer composite films were investigated. In this research, polyethylene oxide (PEO) is used as the polymer matrix. Two representative volume fractions of MWCNT/PEO composite films were selected: 0.56 vol% (near the percolation threshold) and 1.44 vol% (away from the percolation threshold) of MWCNT. An experimental setup which can measure electrical resistance and strain simultaneously and continuously has been developed. Unique and repeatable relationships in resistance versus strain were obtained for multiple specimens with different volume fractions of MWCNT. The overall pattern of electrical resistance change versus strain for the specimens tested consists of linear and nonlinear regions. A resistance change model to describe the combination of linear and nonlinear modes of electrical resistance change as a function of strain is suggested. The unique characteristics in electrical resistance change for different volume fractions imply that MWCNT/PEO composite films can be used as tunable strain sensors and for application into embedded sensor systems in structures.

Entities:  

Year:  2008        PMID: 21817619     DOI: 10.1088/0957-4484/19/05/055705

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  14 in total

1.  Piezoresistive strain sensors made from carbon nanotubes based polymer nanocomposites.

Authors:  Ning Hu; Hisao Fukunaga; Satoshi Atobe; Yaolu Liu; Jinhua Li
Journal:  Sensors (Basel)       Date:  2011-11-11       Impact factor: 3.576

2.  Design and fabrication of single-walled carbon nanonet flexible strain sensors.

Authors:  Ya-Ting Huang; Shyh-Chour Huang; Chih-Chao Hsu; Ru-Min Chao; Trung Kien Vu
Journal:  Sensors (Basel)       Date:  2012-03-07       Impact factor: 3.576

3.  Processing and Characterization of a Novel Distributed Strain Sensor Using Carbon Nanotube-Based Nonwoven Composites.

Authors:  Hongbo Dai; Erik T Thostenson; Thomas Schumacher
Journal:  Sensors (Basel)       Date:  2015-07-21       Impact factor: 3.576

4.  Recent Progress in Electronic Skin.

Authors:  Xiandi Wang; Lin Dong; Hanlu Zhang; Ruomeng Yu; Caofeng Pan; Zhong Lin Wang
Journal:  Adv Sci (Weinh)       Date:  2015-07-14       Impact factor: 16.806

5.  Characterizing the Conductivity and Enhancing the Piezoresistivity of Carbon Nanotube-Polymeric Thin Films.

Authors:  Yingjun Zhao; Martin Schagerl; Christoph Viechtbauer; Kenneth J Loh
Journal:  Materials (Basel)       Date:  2017-06-29       Impact factor: 3.623

6.  Ultra-sensitive Pressure sensor based on guided straight mechanical cracks.

Authors:  Yong Whan Choi; Daeshik Kang; Peter V Pikhitsa; Taemin Lee; Sang Moon Kim; Gunhee Lee; Dongha Tahk; Mansoo Choi
Journal:  Sci Rep       Date:  2017-01-06       Impact factor: 4.379

Review 7.  Integrated Electromechanical Transduction Schemes for Polymer MEMS Sensors.

Authors:  Damien Thuau; Pierre-Henri Ducrot; Philippe Poulin; Isabelle Dufour; Cédric Ayela
Journal:  Micromachines (Basel)       Date:  2018-04-24       Impact factor: 2.891

8.  Flexible carbon nanotube films for high performance strain sensors.

Authors:  Olfa Kanoun; Christian Müller; Abderahmane Benchirouf; Abdulkadir Sanli; Trong Nghia Dinh; Ammar Al-Hamry; Lei Bu; Carina Gerlach; Ayda Bouhamed
Journal:  Sensors (Basel)       Date:  2014-06-06       Impact factor: 3.576

9.  Revisit to three-dimensional percolation theory: Accurate analysis for highly stretchable conductive composite materials.

Authors:  Sangwoo Kim; Seongdae Choi; Eunho Oh; Junghwan Byun; Hyunjong Kim; Byeongmoon Lee; Seunghwan Lee; Yongtaek Hong
Journal:  Sci Rep       Date:  2016-10-03       Impact factor: 4.379

10.  Experimental Study on Force Sensitivity of the Conductivity of Carbon Nanotubes-Modified Epoxy Resins.

Authors:  Chun-Feng Wan; Bo Wen; Jian-Guo Dai; Jian-Xun Liu; Yu-Zhong Liu
Journal:  Materials (Basel)       Date:  2018-07-10       Impact factor: 3.623

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