4.7 Article

Comprehensive evaluation of the piezoresistive behavior of carbon nanotube-based composite strain sensors

Journal

COMPOSITES SCIENCE AND TECHNOLOGY
Volume 208, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compscitech.2021.108761

Keywords

Carbon nanotube; Strain sensor; Piezoresistive behavior; Modelling

Funding

  1. National Natural Science Foundation of China [11672049, 51803016, U1837204, 11872132]
  2. China Postdoctoral Science Foundation [2020M673124]
  3. Chongqing Municipal Fundamental and Frontier Research Program [cstc2018jcyjAX0343]
  4. Natural Science Foundation of Chongqing [cstc2020jcyj-bshX0001]

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In this paper, a comprehensive analytical model is developed to predict the electro-mechanical response of conductive CNT-based composite sensors by considering critical factors such as CNT dimensions, interphase, nanotube waviness, and dispersion state. The key factors were found to play important roles in determining the sensitivity of CNT-based composite strain sensors, and the validity of the developed model was demonstrated through comparisons with existing numerical and experimental data. The developed model provides a deeper understanding of the piezoresistive behavior of CNT-based composite sensors compared to existing models, and a meaningful recommendation is made to optimize the design of highly sensitive CNT-based composite sensors.
Theoretical analysis of the piezoresistive behavior of carbon nanotube (CNT)-based composites is of great importance for understanding the electro-mechanical response of CNT-based composite strain sensors. In this paper, a comprehensive analytical model is developed to predict the electro-mechanical response of conductive CNT-based composite sensors by considering some critical factors, such as CNT dimensions, interphase, nanotube waviness, and dispersion state. To acheive this, stretching-induced changes in electrical resistance are characterized in the model by the variation of CNT content, CNT orientation, and percolated conductive networks. Then the effects of these key factors are systematically examined on the piezoresistive response of CNT-based composite strain sensors and found to play important roles in determining the sensitivity. Moreover, comparisons between modelling predictions and existing numerical and experimental data are made to demonstrate the validity of the developed model. The developed model highlights the physical mechanism and takes full consideration of the key parameters, which can help to gain a deeper understanding of the piezoresistive behavior of CNT-based composite sensors compared with existing modellings. Finally, a meaningful recommendation is made to optimize the design of highly sensitive CNT-based composite sensors.

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