Air permeability characterization of glass fiber nonwoven fabric for liquid composite molding applications

Aegean International Textile and Advanced Engineering Conference 2018

Ince, M.E.^1

Textile Engineering Department, Gaziantep University, Gaziantep, Turkey^1

关键词: Bernoulli equations;    Composite industrys;    Fiber reinforced polymers;    Input variables;    Liquid composite molding;    Number of layers;    Permeability test;    Process input variables;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/459/1/012046/pdf
DOI  :  10.1088/1757-899X/459/1/012046

来源: IOP

【 摘 要 】

Due to tailorable and superior mechanical properties normalized by their density; the use of fiber reinforced polymers (aka composites) is increasing steadily. Nonwoven surfaces from randomly oriented glass fibers are commonly used reinforcement fabrics in composite industry, and their resin infusion and final composite performances are largely dictated by their porosity that is quantified by air permeability. This research dealt with air permeability characterization of nonwoven fabric from chopped and randomly oriented glass fibers. Number of layers and fabric test face direction were selected as product input variables, while pressure drop and test head area were selected as process input variables. Front and back faces of the fabric stacks with single, double and triple layers were subjected to air permeability test with test head areas of 20 and 30 cm2, and across a pressure drop of 100 and 200 Pa. As expected, multiple fabric layers exhibited lower air permeability. While test face of fabric and test head area did not affect the air permeability; measurements performed under 200 Pa pressure drop resulted in higher air permeability than that of 100 Pa at statistically significant level, which was explained by Bernoulli Equation.