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Prediction and Correlation of Air Permeability and Light Transmission Properties of Woven Cotton Fabrics

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of this study was to develop statistical models for predicting the air permeability and light transmission properties of woven cotton fabrics and determine the level of correlation between the two parameters. Plain woven fabrics were developed with different warp and weft linear densities, ends per inch and picks per inch. After desizing, scouring, bleaching, drying and conditioning, the air permeability and light transmission properties of the fabric samples were determined. Regression analysis results showed statistically significant effect of the fabric ends, picks and warp linear density on both the fabric air permeability and light transmission. Correlation analysis was performed to analyze the relation between the fabric air permeability and light transmission. A linear equation was also formulated to find the fabric air permeability through transmission of light intensity. A fitted line plot between the air permeability and light transmission exhibited significant correlation with R-sq. value of 96.4%. The statistical models for the prediction of fabric air permeability and light transmittance were developed with an average prediction error of less than 7%.
Rocznik
Strony
61--66
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
  • Faculty of Engineering & Technology, National Textile University, Faisalabad-37610, Pakistan
autor
  • Faculty of Engineering & Technology, National Textile University, Faisalabad-37610, Pakistan
autor
  • Faculty of Engineering & Technology, National Textile University, Faisalabad-37610, Pakistan
autor
  • Faculty of Engineering & Technology, National Textile University, Faisalabad-37610, Pakistan
autor
  • Faculty of Engineering & Technology, National Textile University, Faisalabad-37610, Pakistan
autor
  • Faculty of Engineering & Technology, National Textile University, Faisalabad-37610, Pakistan
Bibliografia
  • [1] Afzal, A., Hussain, T., Malik, M. H., and Javed, Z. (2014). Statistical model for predicting the air permeability of polyester/cotton blended interlock knitted fabrics. The Journal of The Textile Institute, 105(02), 214-222.
  • [2] Ogulata, R. T. (2006). Air permeability of woven fabrics. Journal of Textile and Apparel, Technology and Management, 5(2), 1-10.
  • [3] Xiao, X., Zeng, X., Long, A., Lin, H., Clifford, M., and Saldaeva, E. (2012). An analytical model for through-thickness permeability of woven fabric. Textile Research Journal, 82(5), 492-501.
  • [4] Behera, B. and Mishra, R. (2007). Artificial neural network-based prediction of aesthetic and functional properties of worsted suiting fabrics. International Journal of Clothing Science and Technology, 19(5), 259-276.
  • [5] Turan, R. and Okur, A. (2012). Investigation of pore parameters of woven fabrics by theoretical and image analysis methods. Journal of The Textile Institute, 103(8), 875-884.
  • [6] Tokarska, M. (2004). Neural Model of the Permeability Features of Woven Fabrics. Textile Research Journal, 74(12), 1045-1048.
  • [7] Zupin, Ž., Hladnik, A., and Dimitrovski, K. (2012). Prediction of one-layer woven fabrics air permeability using porosity parameters. Textile Research Journal, 82(2), 117-128.
  • [8] Szmyt, J. and Mikolajczyk, Z. (2010). Light transmission through decorative knitted fabrics in correlation with their fabric cover. AUTEX Research Journal, 10(2), 44-48.
  • [9] Tàpias, M., Ralló, M., Escofet, J., Algaba, I., and Riva, A. (2010). Objective Measure of Woven Fabric’s Cover Factor by Image Processing. Textile Research Journal, 80(1), 35-44.
  • [10] Tàpias, M., Ralló, M., and Escofet, J. (2011). Automatic measurements of partial cover factors and yarn diameters in fabrics using image processing. Textile Research Journal, 81(2), 173-186.
  • [11] Cardamone, J. M., Damert, W. C., Phillips, J. G., and Marmer, W. N. (2002). Digital image analysis for fabric assessment. Textile Research Journal, 72(10), 906-916.
  • [12] Chen, X. and Huang, X. (2004). Evaluating fabric pilling with light-projected image analysis. Textile Research Journal, 74(11), 977-981.
  • [13] Jasinska, I. and Stempien, Z. (2013). An alternative instrumental method for fabric pilling evaluation based on computer image analysis. Textile Research Journal, 0040517513512398.
  • [14] Militky, J., Travnickova, M., and Bajzik, V. (1999). Air permeability and light transmission of weaves. International Journal of Clothing Science and Technology, 11(2/3), 116-125.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-774b2728-2c2c-44e9-8e55-f79dafdebd5d
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