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Application of Artificial Neural Networks to Predict the Air Permeability of Woven Fabrics

Research and development

Author:

  • Matusiak Małgorzata
    Institute of Textile Architecture, Lodz University of Technology, Łódź, Poland

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Abstract:

Air permeability is one of the most important utility properties of textile materials as it influences air flow through textile material. Air permeability plays a significant role in textiles for clothing due to their influence on physiological comfort. Air permeability is also very important in technical textiles, especially for filtration, automotive airbags, parachutes, etc. The air permeability of textile materials depends on their porosity. There are a lot of structural properties of textile materials influencing air permeability and there are also statistically significant interactions between the main factors influencing the air permeability of fabrics. It justifies the application of artificial neural networks (ANNs) to predict the air permeability of textile materials on the basis of their structural parameters. Within the framework of the work presented ANNs were applied to predict the air permeability of cotton woven fabrics.

Tags:

woven fabrics, air permeability, artificial neural networks, modelling.

Citation:

Matusiak M. Application of Artificial Neural Networks to Predict the Air Permeability of Woven Fabrics. FIBRES & TEXTILES in Eastern Europe 2015; 23, 1(109): 41-48.

Published in issue no 1 (109) / 2015, pages 41–48.

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