Title

Modeling of an Embedded Carbon Nanotube Based Composite Strain Sensor

Author(s)

Matthew Boehle, University of DaytonFollow
Paul-Benoit Pianca, University of Dayton
Khalid Lafdi, University of DaytonFollow
Francisco Chinesta, Ecole Centrale of Nantes

Document Type

Article

Publication Date

2015

Publication Source

Advances in Aircraft and Spacecraft Science

Abstract

Carbon nanotube strain sensors, or so called "fuzzy fiber" sensors have not yet been studied sufficiently. These sensors are composed of a bundle of fiberglass fibers coated with CNT through a thermal chemical vapor deposition process. The characteristics of these fuzzy fiber sensors differ from a conventional nanocomposite in that the CNTs are anchored to a substrate fiber and the CNTs have a preferential orientation due to this bonding to the substrate fiber. A numerical model was constructed to predict the strain response of a composite with embedded fuzzy fiber sensors in order to compare result with the experimental results obtained in an earlier study. A comparison of the numerical and experimental responses was conducted based on this work. The longitudinal sensor output from the model matches nearly perfectly with the experimental results. The transverse and off-axis tests follow the correct trends; however the magnitude of the output does not match well with the experimental data. An explanation of the disparity is proposed based on microstructural interactions between individual nanotubes within the sensor.

Inclusive pages

263-273

ISBN/ISSN

2287-528X

Copyright

Copyright © 2015, Techno-Press

Publisher

Techno-Press

Volume

2

Peer Reviewed

yes

Issue

3

eCommons Citation

Boehle, Matthew; Pianca, Paul-Benoit; Lafdi, Khalid; and Chinesta, Francisco, "Modeling of an Embedded Carbon Nanotube Based Composite Strain Sensor" (2015). Chemical and Materials Engineering Faculty Publications. 31.
https://ecommons.udayton.edu/cme_fac_pub/31