20 April 2016 Electrical conductivity of nanocomposites based on carbon nanotubes: a 3D multiscale modeling approach
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Abstract
Remarkable electrical properties of carbon nanotubes (CNT) have lead to increased interest in studying CNT- based devices. Many of current researches are devoted to using all kinds of carbon nanomaterials in the con- struction of sensory elements. One of the most common applications is the development of high performance, large scale sensors. Due to the remarkable conductivity of CNT's such devices represent very high sensitivity. However, there are no sufficient tools for studying and designing such sensors. The main objective of this paper is to develop and validate a multiscale numerical model for a carbon nanotubes based sensor. The device utilises the change of electrical conductivity of a nanocomposite material under applied deformation. The nanocomposite consists of a number of CNTs dispersed in polymer matrix. The paper is devoted to the analysis of the impact of spatial distribution of carbon nanotubes in polymer matrix on electrical conductivity of the sensor. One of key elements is also to examine the impact of strain on electric charge ow in such anisotropic composite structures. In the following work a multiscale electro-mechanical model for CNT - based nanocomposites is proposed. The model comprises of two length scales, namely the meso- and the macro-scale for mechanical and electrical domains. The approach allows for evaluation of macro-scale mechanical response of a strain sensor. Electrical properties of polymeric material with certain CNT fractions were derived considering electrical properties of CNTs, their contact and the tunnelling effect.
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Krzysztof Grabowski, Krzysztof Grabowski, Paulina Zbyrad, Paulina Zbyrad, Wieslaw J. Staszewski, Wieslaw J. Staszewski, Tadeusz Uhl, Tadeusz Uhl, Kazimierz Wiatr, Kazimierz Wiatr, Pawel Packo, Pawel Packo, "Electrical conductivity of nanocomposites based on carbon nanotubes: a 3D multiscale modeling approach", Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98030O (20 April 2016); doi: 10.1117/12.2219275; https://doi.org/10.1117/12.2219275
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