Prediction of the piezo-resistive behavior of rubber/carbon nanotube nanocomposites under quasi-static compression

Ayagara, Aravind Rajan; Langlet, André; Gratton, Michel; Hocine, Nourredine Aït

doi:10.1016/j.compositesa.2021.106428

Cited by 4 publications

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They reported that the gage factor depended on loading direction and CNT volume fraction. Rajan Ayagara et al 22 presented the prediction of piezoresistive behavior under uniaxial compression by an approach that was supplemented by FE simulations to predict the movement of CNTs in the polymer. The contacts between CNTs and changes in the CNTs’ orientation were determined by the tunneling distance predicted by FE.…”

Section: Introductionmentioning

confidence: 99%

An analytical investigation of self-temperature-compensated stretchable piezoresistive nanocomposites containing hybrid carbon black/carbon nanotube nanofillers

Haghgoo

Ansari

Hassanzadeh-Aghdam

et al. 2022

Journal of Composite Materials

View full text Add to dashboard Cite

In this study, the temperature-dependent piezoresistivity of hybrid carbon black (CB)/carbon nanotube (CNT) nanocomposites is studied using a percolation model with a Monte Carlo simulation approach. With this approach, the temperature-dependency of electrical resistivity and the strain sensitivity of the nanocomposite are investigated. In addition, other parameters such as the aspect ratio, dispersion state and dimensions’ effect on piezoresistivity of the compensated stretchable nanocomposite are investigated. By developing a temperature-dependent percolation model, the temperature sensitivity response of nanocomposite is investigated based on defining the temperature coefficient of resistance of CNT and thermal expansion coefficient of polymer. It is found that the dimensional aspects and dispersion state affected the percolation threshold and resistivity. The obtained results also indicated that the piezoresistivity increased with the decrease in the Poisson’s ratio and intrinsic electrical conductivity. Moreover, the predicted results showed high prediction accuracy for temperature-dependence resistivity compared with the existing experimental data.

show abstract

Section: Introductionmentioning

confidence: 99%