Open AccessConductive properties of flexible polymer composites with different carbon-based fillers
Author(s) -
D N Tonkov,
M I Kobylyatskaya,
E S Vasilyeva,
А. В. Семенча,
V E Gasumyants
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2227/1/012022
Subject(s) - materials science , composite material , percolation threshold , graphene , carbon nanotube , gauge factor , percolation (cognitive psychology) , graphite , mass fraction , filler (materials) , electrical resistivity and conductivity , piezoresistive effect , carbon black , natural rubber , nanotechnology , medicine , alternative medicine , engineering , pathology , fabrication , neuroscience , electrical engineering , biology
This paper is devoted to the comparative study of conductive properties of three types of flexible polymer composites consisting of styrene-butadiene rubber (SBR) as a matrix and graphite, graphene or single-walled carbon nanotubes as fillers. The dependences of the resistivity on the mass fraction of different fillers are measured and analyzed within the framework of the statistical percolation theory. The percolation parameters (the values of the percolation threshold and the critical exponent) are calculated for all studied composites. Their variation depending on the filler type is discussed, taking into account a geometric shape of filler particles and the nature of the conduction process in composites in the percolation range. The sensitivity of the resistivity of synthesized composites to axial deformation at different mass fraction of fillers is also investigated. Using graphite or graphene fillers is observed to result in a higher sensitivity compared to the carbon nanotubes filler. The highest value of the gauge factor is observed when using 23 mass.% graphene filler that indicates graphene/SBR composites to be most promising for creating strain sensors.