Characterization of the spatial elastoresistivity of inkjet-printed carbon nanotube thin films. (4th September 2018)

• Record Type: Journal Article
• Authors: Zhao, Yingjun; Gschossmann, Sandra; Schagerl, Martin; Gruener, Patrick; Kralovec, Christoph
• Is Part Of: Smart materials and structures. Volume 27:Number 10(2018:Oct.)
• Publication Date: 2018-09-04
• Subjects: carbon nanotubes -- inkjet-print -- elastoresistivity -- nanocomposite -- electrical impedance tomography -- spatial strain sensing -- structural health monitoring; Smart materials -- Periodicals; Strucural design -- Periodicals; 620.11
• DOI: 10.1088/1361-665X/aad8f1
• Languages: English
• ISSNs: 0964-1726

Abstract

Abstract: Next-generation lightweight-designed structures shall be able to perform self-state assessment via integrated health monitoring systems. In this article a carbon nanotube-embedded polymeric thin film is applied via inkjet-printing to perform spatial strain sensing in conjunction with using electrical impedance tomography. To gain an advanced understanding of the thin film's spatial strain sensitivity, the elastoresistivity matrix, a fourth-order tensor correlating the strain state of a conductor into its normalized change in resistivity state, is characterized. The Montgomery method is adopted to derive the planar resistivity coefficients of the thin film, and a digital image correlation system is used to measure the planar strains. A validation test suggests that the calculated determinant of the correlated change in anisotropic resistivity shows a fairly similar result to the measured isotropic EIT reconstruction results.