1990International Journal of ElectronicsRequires access

Large-scale simulation of the critical volume fraction for the percolation threshold in metal-fibre-loaded polymer composites

B. Bridge, Huey Yin Tee

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Abstract

Large-scale modelling of short-fibre metal-loaded composites is described. The aim was to establish the relationship between fibre aspect ratio (A) and the critical volume fraction (Vc ) at which conductivity via a percolation mechanism occurs. For typical geometries, Vc was found to be proportional to (I/A)1 · 5 for 50  A  500. This gave good agreement with a first-order theoretical model (which predicts a I/A dependence for Vc ) for 150  A  500.

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Large-scale modelling of short-fibre metal-loaded composites is described. The aim was to establish the relationship between fibre aspect ratio (A) and the critical volume fraction (Vc ) at which conductivity via a percolation mechanism occurs. For typical geometries, Vc was found to be proportional to (I/A)1 · 5 for 50  A  500. This gave good agreement with a first-order theoretical model (which predicts a I/A dependence for Vc ) for 150  A  500.

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Available abstract

Large-scale modelling of short-fibre metal-loaded composites is described. The aim was to establish the relationship between fibre aspect ratio (A) and the critical volume fraction (Vc ) at which conductivity via a percolation mechanism occurs. For typical geometries, Vc was found to be proportional to (I/A)1 · 5 for 50  A  500. This gave good agreement with a first-order theoretical model (which predicts a I/A dependence for Vc ) for 150  A  500.

Key concepts: Volume fraction, Materials science, Percolation threshold, Percolation (cognitive psychology), Composite material, Volume (thermodynamics), Conductivity, Metal

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