Large-scale simulation of the critical volume fraction for the percolation threshold in metal-fibre-loaded polymer composites
B. Bridge, Huey Yin Tee
Abstract
B. Bridge, Huey Yin Tee
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.
Key concepts: Volume fraction, Materials science, Percolation threshold, Percolation (cognitive psychology), Composite material, Volume (thermodynamics), Conductivity, Metal