Electrical impedance tomography of carbon nanotube composite materials

Tsung-Chin Hou, Kenneth J. Loh, Jerome P. Lynch

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

13 Citations (Scopus)

Abstract

The field of nanotechnology is rapidly maturing into a fertile and interdisciplinary research area from which new sensor and actuator technologies can be conceived. The tools and processes derived from the nanotechnology field have offered engineers the opportunity to design materials in which sensing transduction mechanisms can be intentionally encoded. For example, single- and multi-walled carbon nanotubes embedded within polyelectrolyte thin films have been proposed for strain and pH sensing. While the electromechanical and electrochemical response of carbon nanotube composites can be experimentally characterized, there still lacks a fundamental understanding of how the conductivity of carbon nanotube composites is spatially distributed and how it depends on external stimuli. In this study, electrical impedance tomography is proposed for spatial characterization of the conductivity of carbon nanotube composite thin films. The method proves promising for both assessment of as-fabricated thin film quality as well as for two-dimensional sensing of thin film response to mechanical strain and exposure to pH environments.

Original languageEnglish
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007
DOIs
Publication statusPublished - 2007 Nov 1
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007 - San Diego, CA, United States
Duration: 2007 Mar 192007 Mar 22

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6529 PART 2
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007
CountryUnited States
CitySan Diego, CA
Period07-03-1907-03-22

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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