author_facet Bedez Üte, Tuba
Kadoğlu, Hüseyin
Bedez Üte, Tuba
Kadoğlu, Hüseyin
author Bedez Üte, Tuba
Kadoğlu, Hüseyin
spellingShingle Bedez Üte, Tuba
Kadoğlu, Hüseyin
Autex Research Journal
Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
General Materials Science
author_sort bedez üte, tuba
spelling Bedez Üte, Tuba Kadoğlu, Hüseyin 2300-0929 Walter de Gruyter GmbH General Materials Science http://dx.doi.org/10.2478/aut-2014-0013 <jats:title>Abstract</jats:title> <jats:p>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 (R<jats:sup>2</jats:sup> and adjusted R<jats:sup>2</jats:sup>) were observed.</jats:p> Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties Autex Research Journal
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title Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_unstemmed Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_full Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_fullStr Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_full_unstemmed Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_short Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_sort regressional estimation of cotton sirospun yarn properties from fibre properties
topic General Materials Science
url http://dx.doi.org/10.2478/aut-2014-0013
publishDate 2014
physical 161-167
description <jats:title>Abstract</jats:title> <jats:p>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 (R<jats:sup>2</jats:sup> and adjusted R<jats:sup>2</jats:sup>) were observed.</jats:p>
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author Bedez Üte, Tuba, Kadoğlu, Hüseyin
author_facet Bedez Üte, Tuba, Kadoğlu, Hüseyin, Bedez Üte, Tuba, Kadoğlu, Hüseyin
author_sort bedez üte, tuba
container_issue 3
container_start_page 161
container_title Autex Research Journal
container_volume 14
description <jats:title>Abstract</jats:title> <jats:p>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 (R<jats:sup>2</jats:sup> and adjusted R<jats:sup>2</jats:sup>) were observed.</jats:p>
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spelling Bedez Üte, Tuba Kadoğlu, Hüseyin 2300-0929 Walter de Gruyter GmbH General Materials Science http://dx.doi.org/10.2478/aut-2014-0013 <jats:title>Abstract</jats:title> <jats:p>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 (R<jats:sup>2</jats:sup> and adjusted R<jats:sup>2</jats:sup>) were observed.</jats:p> Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties Autex Research Journal
spellingShingle Bedez Üte, Tuba, Kadoğlu, Hüseyin, Autex Research Journal, Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties, General Materials Science
title Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_full Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_fullStr Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_full_unstemmed Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_short Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
title_sort regressional estimation of cotton sirospun yarn properties from fibre properties
title_unstemmed Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
topic General Materials Science
url http://dx.doi.org/10.2478/aut-2014-0013