Publication

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

Ahsan Nazir, Tanveer Hussain, Ali Afzal, Sajid Faheem, Waseem Ibrahim, Muhammad Junaid Bilal

Autex Research JournalApr 12, 2016
Abstract

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%.

1Authors

AuthorAffiliationh-indexCitations
Ahsan NazirNational Textile University241,746
Tanveer HussainNational Textile University376,739
Ali AfzalNational Textile University201,260
Sajid FaheemNational Textile University8206
Waseem IbrahimNational Textile University689
Muhammad Junaid BilalNational Textile University13566

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