TY - GEN
T1 - Temperature-Dependent Effective Electrical Conductivity of Carbon Nanotube-Epoxy Nanocomposites
T2 - 33rd Technical Conference of the American Society for Composites 2018
AU - Avila, Antonio
AU - Zhupanska, Olesya
N1 - Funding Information:
The first author would like to acknowledge the logistic support provided by the University of Arizona, Department of Aerospace and Mechanical Engineering during his sabbatical visit. The first author would like to recognize the financial support provided by the Brazilian Research Council (CNPq) grant 304646/2014-8 and the Air Force Office of Scientific Research (AFOSR) grant FA9550-14-1-0377. We also would like to acknowledge the technical support provided by the UFMG’s Center for Micro-Analysis.
Publisher Copyright:
© 2018 33rd Technical Conference of the American Society for Composites 2018. All rights reserved.
PY - 2018
Y1 - 2018
N2 - The semi-Analytical model for predicting electrical conductivity of carbon nanotubes based composites developed by Deng and Zheng [15] was extended to high temperatures. To be able to apply such model to temperatures up to 800 C, correlations coefficients were examined under the thermogravimetric analysis perspective. Four different heating rates (10 Co/min, 20 Co/min, 40 Co/min, and 50 Co/min) and four CNT/epoxy compositions (control sample, 0.5 wt. %, 1.0 wt. %, and 2.0 wt. %) were investigated. As carbon nanotubes have the tendency to agglomerate a morphological study was performed using Atomic Force Microscopy. The investigation revealed no major agglomerations and a good spatial dispersion. The TGA data were treated considering the reacted fraction as function of the absolute temperature. Two different coefficients were proposed based on reacted fraction, activation energy, and the rate of reaction. The semi-Analytical expressions are physically related to the thermal degradation phenomenon, including the carbon nanotubes de-percolation effect. The model is continuous on temperature and reacted fraction, but it is discrete on CNT concentration. The model seems to capture the physical phenomenon of thermal decomposition all three main phases with accuracy.
AB - The semi-Analytical model for predicting electrical conductivity of carbon nanotubes based composites developed by Deng and Zheng [15] was extended to high temperatures. To be able to apply such model to temperatures up to 800 C, correlations coefficients were examined under the thermogravimetric analysis perspective. Four different heating rates (10 Co/min, 20 Co/min, 40 Co/min, and 50 Co/min) and four CNT/epoxy compositions (control sample, 0.5 wt. %, 1.0 wt. %, and 2.0 wt. %) were investigated. As carbon nanotubes have the tendency to agglomerate a morphological study was performed using Atomic Force Microscopy. The investigation revealed no major agglomerations and a good spatial dispersion. The TGA data were treated considering the reacted fraction as function of the absolute temperature. Two different coefficients were proposed based on reacted fraction, activation energy, and the rate of reaction. The semi-Analytical expressions are physically related to the thermal degradation phenomenon, including the carbon nanotubes de-percolation effect. The model is continuous on temperature and reacted fraction, but it is discrete on CNT concentration. The model seems to capture the physical phenomenon of thermal decomposition all three main phases with accuracy.
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M3 - Conference contribution
AN - SCOPUS:85059428745
T3 - 33rd Technical Conference of the American Society for Composites 2018
SP - 3074
EP - 3086
BT - 33rd Technical Conference of the American Society for Composites 2018
PB - DEStech Publications Inc.
Y2 - 24 September 2018 through 27 September 2018
ER -