Abstract
Conductive polymers and nanocomposites have attracted great attention in industry and academia for their tremendous potential applications. Most of the research was focused on the type and amount of nano-additives used and fewer on their morphology which is critical in forming the conductive network. In this paper, a detailed investigation of the effect nanomaterial’s morphology was carried out to study their electrical conductivity properties. Silver nanowire (AgNW) nanocomposite and silver nanoparticle (AgNP) nanocomposite were fabricated. The morphology, crystallinity, and orientation of various silver nanofillers were characterized. AgNW based nanocomposites have shown a lower percolation threshold. A conductive unit based model was established to explain the evolution of the conductive network and aggregation. The aggregation geometry of nanofiller appeared as a dominant factor in altering the percolation behavior.
Highlights
Conductive polymer nanocomposites exhibit excellent electrical conductivity [1, 2] and lightweight [3], which have attracted great interest to be used as strain sensor [4, 5], biosensors [6], transparent electrodes [7,8,9], and surface-enhanced Raman scattering (SERS) for plasmonic applications [10]
As observed via SEM, the aggregation of silver nanofiller was distinct because the nanofiller was stored in acetone [49]
In the first 100 simulations, we considered the silver nanoparticles were very well dispersed, and every particle stayed alone in the 3 × 3 × 3 cube, and 1289 particles were generated, as shown in figure 9(a)
Summary
Conductive polymer nanocomposites exhibit excellent electrical conductivity [1, 2] and lightweight [3], which have attracted great interest to be used as strain sensor [4, 5], biosensors [6], transparent electrodes [7,8,9], and surface-enhanced Raman scattering (SERS) for plasmonic applications [10]. Soheil et al studied the effect of nano additive geometry in carbon-based materials. They compared multiwall carbon nanotube (MWCNT) and graphene nanoribbon (GNR) nanocomposites and found that GNR. Nuha et al systematically studied the effect of carbon nanofiller’s geometry, aspect ratio, aggregation, and concentration. Their modeling result shows that the conductivity evolution versus nano-additive concentration is profoundly affected by the degree of aggregation. They revealed that well-dispersed nanofillers are not always preferred for the formation of conductive networks. A conductive unit based model was established to expound the effect of size and aggregation geometry on the evolution of the conductive network
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