Conductive and Tensoresistive Properties of Flexible Polymer Compositres: Experimental Study and Modeling

In this paper, we present the experimental results on the conductive and tensoresistive properties of polymer composites containing a small amount of carbon nanotubes. The experimental results on the resistivity dependence on the mass fraction of the CNT filler were analyzed within the classical percolation model. The sensitivity of the resistivity of synthesized composites with different mass fractions of the CNT filler to the degree of their uniaxial tension in a wide range of the applied strain was experimentally investigated. All obtained results were successfully described based on statistical percolation and resistive network models taking into account the influence of stretching on the curvature of carbon nanotubes.

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Published
2024-10-17
DOI
https://doi.org/10.1109/eexpolytech62224.2024.10755829
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
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article
Field-Weighted Citation Impact
0.18
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article

Conductive and Tensoresistive Properties of Flexible Polymer Compositres: Experimental Study and Modeling

Ekaterina Vasilyeva, Dmitry Tonkov, О. В. Толочко, V. É. Gasumyants
1 citations
Advanced Sensor and Energy Harvesting Materials
0.18
article

Conductive and Tensoresistive Properties of Flexible Polymer Compositres: Experimental Study and Modeling

Ekaterina Vasilyeva, Dmitry Tonkov, О. В. Толочко, V. É. Gasumyants
article en
1 citations

Abstract

In this paper, we present the experimental results on the conductive and tensoresistive properties of polymer composites containing a small amount of carbon nanotubes. The experimental results on the resistivity dependence on the mass fraction of the CNT filler were analyzed within the classical percolation model. The sensitivity of the resistivity of synthesized composites with different mass fractions of the CNT filler to the degree of their uniaxial tension in a wide range of the applied strain was experimentally investigated. All obtained results were successfully described based on statistical percolation and resistive network models taking into account the influence of stretching on the curvature of carbon nanotubes.

Peter the Great St. Petersburg Polytechnic University (RU)
Openalex Percentile: Top 50%
Advanced Sensor and Energy Harvesting Materials
0.18
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