Numerical modelling of electrical conductivity and piezoelectricity of carbon nanotube polymer composites

N. Hu, Y. Karube, H. Fukunaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A three-dimensional (3D) numerical model to predict the electrical properties of a nanocomposite made from an insulating polymer filled by carbon nanotubes (CNTs) is proposed. In this model, the percolation threshold is predicted by a statistical percolation model. Furthermore, a 3D resistor network model is proposed to predict the electrical conductivity of the nanocomposite. Experiments have been performed to verify the numerical results. For the application of the nanocomposite as strain sensors, by considering the tunnel effect, the resistor network model is extended to estimate the piezoelectricity. A strain sensor is made from this nanocomposite. Finally, both numerical and experimental results demonstrate that this new sensor possesses much higher sensitivity or gauge ratio compared with traditional strain gauges.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Engineering Computational Technology
Publication statusPublished - 2008 Dec 1
Event6th International Conference on Engineering Computational Technology, ECT 2008 - Athens, Greece
Duration: 2008 Sep 22008 Sep 5

Publication series

NameProceedings of the 6th International Conference on Engineering Computational Technology

Other

Other6th International Conference on Engineering Computational Technology, ECT 2008
CountryGreece
CityAthens
Period08/9/208/9/5

Keywords

  • Carbon nanotube
  • Electrical property
  • Nanocomposite
  • Strain sensor

ASJC Scopus subject areas

  • Computer Science(all)

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    Hu, N., Karube, Y., & Fukunaga, H. (2008). Numerical modelling of electrical conductivity and piezoelectricity of carbon nanotube polymer composites. In Proceedings of the 6th International Conference on Engineering Computational Technology (Proceedings of the 6th International Conference on Engineering Computational Technology).