A model for permeability in fibre-reinforced plastics

Abstract

Increased use of continuous fibre reinforced plastics (CoFRP) is being seen in the automotive industry due to their high strength specific properties. The manufacturing process, however, is still expensive due to the number of critical steps and material cost. Cost reduction is being combated by computational modeling of the infiltration and curing process to predict void formation and other potential defects. The accuracy of these simulations is highly dependent on capturing the presence of the carbon sheets in the mold due to the large differences in permeability between flow parallel and normal to the fibre tows. This work presents a geometry based method for locally orienting the fibre and thickness direction for 2D extruded CoFRP components. The capabilities of these methods will be presented by comparing the fibre orientation prediction for two geometries (i.e., hat channel and double dome) using 3 difference draping schemes (i.e., 0°, 45°, 90°) against the results of a validated draping simulation developed in LS-DYNA.

Interrelationship of Electric Double Layer Theory and Microfluidic Microbial Fuel Cells: A Review of Theoretical Foundations and Implications for Performance

“…These electrogenic bacteria secrete some chemical species, such as flavins, called shuttle molecules, to enhance the electron transfer from the outer membrane of the bacteria to the electrodes [64,65]. In electron transfer via nanowires, Geobacter genera and, very recently, Shewanella have demonstrated their abilities to use their conductive appendages in an electron transfer mechanism outside the cell [66][67][68]. These microbial structures involve cellular outgrowth, known as nanowires, with reported conductivity that is much higher than that of synthetic metallic nanostructures [69,70].…”

“…Fibrous channell Assuming a cylindrical system with a given porosity, the analytical solution for the linearized Poisson-Boltzmann equation based on the mean field approximation is given as [68]…”