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Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties
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Zeitschriftentitel: | Autex Research Journal |
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Personen und Körperschaften: | , |
In: | Autex Research Journal, 14, 2014, 3, S. 161-167 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Walter de Gruyter GmbH
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Schlagwörter: |
author_facet |
Bedez Üte, Tuba Kadoğlu, Hüseyin Bedez Üte, Tuba Kadoğlu, Hüseyin |
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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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10.2478/aut-2014-0013 |
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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 |