Yarn hairiness versus quality of cotton fibres

Abstract

The influence of yarn construction parameters (yarn count and yarn twist) and quality of cotton fibres in terms of HVI parameters on yarn hairiness has been studied. The Uster Tester 4 and Zweigle G 567 are used for yarn hairiness investigation. The statistical methods (correlation analysis and principal component analysis PCA) are applied to verify significance of yarn hairiness parameter in yarn quality control process. The proposed PCA model can be effectively used as a qualitative criterion during yarn quality inspection. The predictive model for yarn hairiness estimation based on fibre and yarn parameters has been successfully designed using the regression analysis and can be used for prediction of yarn hairiness, expressed by hairiness index <i style="mso-bidi-font-style: normal">H</i>.