2002
DOI: 10.1016/s0014-3057(02)00064-2
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Electrical and thermal conductivity of polymers filled with metal powders

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Cited by 921 publications
(593 citation statements)
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“…16d). The percolation threshold is determined by a sharp drop of electrical resistance and it depends on the size and shape (aspect ratio) of fillers [308,[317][318][319], their dispersion [317,320,321], interfacial interactions, and alignment [322][323][324].…”
Section: Influence Of Interfacial Interactions On Electrical Conductimentioning
confidence: 99%
“…16d). The percolation threshold is determined by a sharp drop of electrical resistance and it depends on the size and shape (aspect ratio) of fillers [308,[317][318][319], their dispersion [317,320,321], interfacial interactions, and alignment [322][323][324].…”
Section: Influence Of Interfacial Interactions On Electrical Conductimentioning
confidence: 99%
“…Theoretical and experimental investigations on two polymers epoxy resin(ER) and poly(vinyl chloride) (PVC) filled with metal powders was presented by Mamunya et al 16 . Copper and nickel powders with average size of 100 and 10µm were used as fillers.…”
Section: Heat Transfer Enhancement Using Polymer Composite Materialsmentioning
confidence: 99%
“…However, metallic particle fillers have several disadvantages compared with fibre filler such as higher density and greater susceptibility to oxidation. Figure 5 summarizes the thermal conductivities for various particle-enhanced polymer composites 16,18 with filler content of 10% and 30%. It is clear that by changing the filler content from 10% to 30%, the thermal conductivity of polymer composites increases about 1.5 to 2.5 times.…”
Section: Heat Transfer Enhancement Using Polymer Composite Materialsmentioning
confidence: 99%
“…However, these models do not consider the effect of percolation path formation. As the volume content ratio increases, the actual thermal conductivity of the composite material becomes higher than the value predicted using these models Soga, Saito, Kawaguchi and Satoh, Journal of Thermal Science and Technology, Vol.12, No.1 (2017) (Kumlutas and Tavman 2006, Hill and Supanic, 2002and Mamunya et al, 2002. The use of numerical simulations such as the finite element method (FEM) is beneficial in predicting the thermal conductivity including the percolation effect (Kumlutas andTavman, 2006 andStrader, 2007).…”
Section: Introductionmentioning
confidence: 99%