El Shakankery, M., Kasem, M., Al-Ebiary, M. (2017). Predicting Air Permeability of Nylon Parachute Fabrics. International Design Journal, 7(2), 235-240. doi: 10.12816/0046569
Mahmoud H. El Shakankery; Mohmed H. Kasem; Mostafa E. Al-Ebiary. "Predicting Air Permeability of Nylon Parachute Fabrics". International Design Journal, 7, 2, 2017, 235-240. doi: 10.12816/0046569
El Shakankery, M., Kasem, M., Al-Ebiary, M. (2017). 'Predicting Air Permeability of Nylon Parachute Fabrics', International Design Journal, 7(2), pp. 235-240. doi: 10.12816/0046569
El Shakankery, M., Kasem, M., Al-Ebiary, M. Predicting Air Permeability of Nylon Parachute Fabrics. International Design Journal, 2017; 7(2): 235-240. doi: 10.12816/0046569
Predicting Air Permeability of Nylon Parachute Fabrics
1Spinning and Weaving Engineering Dept., Textile Research Division, National Research Centre
2Department of textile, spinning and knitting, Faculty of Applied Arts, Helwan University, Egypt
Abstract
Parachute is used to slow the motion of an object through an atmosphere by creating drag. Its performance is considerably affected by the variation of fabric air permeability. Fabrics air permeability is affected by several factors such as porosity which depends mainly on the fabric and yarns construction. In this study , a theoretical model was formed to predict the air permeability of a parachute plain weave structure depending on the geometrical parameters, such as the yarn count, ends per cm, wefts per cm, fabric thickness, yarn diameter and fiber density. Furthermore, a theoretical model of porous systems is based on D’Arcy’s lows was used. The experimental results were confirmed by examining 24 samples of 100% nylon plain fabrics produced with different yarn count and density. Linear Regression model was used to improve the theoretical model. The results revealed that, the proposed model is efficient for the calculation the air flow rate of nylon parachute fabrics.
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