Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
Makaleler > Tam Makale · 2014
Yazarlar: Tuba BEDEZ ÜTE, Hüseyin KADOĞLU
Autex Research Journal, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2014, cilt 14, ss 161-167
Özet
Abstract In this paper, it is aimed at determining the equations and models for estimating the sirospun yarn quality characteristics from the yarn production parameters and cotton fibre properties, which are focused on fibre bundle measurements represented by HVI (high volume instrument). For this purpose, a total of 270 sirospun yarn samples were produced on the same ring spinning machine under the same conditions at Ege University, by using 11 different cotton blends and three different strand spacing settings, in four different yarn counts and in three different twist coefficients. The sirospun yarn and cotton fibre property interactions were investigated by correlation analysis. For the prediction of yarn quality characteristics, multivariate linear regression methods were performed. As a result of the study, equations were generated for the prediction of yarn tenacity, breaking elongation, unevenness and hairiness by using fibre and yarn properties. After the goodness of fit statistics, very large determination coefficients (R2 and adjusted R2) were observed.