Regressional Estimation of Cotton Sirospun Yarn Properties from Fibre Properties

• Autorzy: Bedez Üte T. , Kadoğlu H.

Identyfikatory

DOI

10.2478/aut-2014-0012

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

estimation; HVI; multiple regression analysis; prediction; sirospun system; sirospun yarns; yarn physical properties

PL

szacowanie; HVI; analiza regresji wielokrotnej; prognoza; system sirospun; przędze sirospun; właściwości fizyczne przędzy

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2014
• Tom: Vol. 14, no. 3
• Strony: 161--167
• Opis fizyczny: Bibliogr. 12 poz.

Twórcy

autor

Bedez Üte T.

• Ege University, Faculty of Engineering, Department of Textile Engineering, Izmir, 35100 Izmir, Turkey

autor

Kadoğlu H.

• Ege University, Faculty of Engineering, Department of Textile Engineering, Izmir, 35100 Izmir, Turkey

Bibliografia

• 1. USDA, Cotton and Wool Yearbook, http://www.ers.usda. gov/data-products/cotton,-wool,-and-textile-data/cottonand- wool-yearbook.aspx, (2012 accessed 5 September 2013)
• 2. ICAC-International Cotton Advisory Committee, Cotton This Month, (2013, accessed 1 March 2013.
• 3. Hunter L., HVI Testing of Cotton: Its Present Status and Future Prospects, 26th International Cotton Conference Bremen, 16 March 2002.
• 4. http://www.uster.com/en/instruments/ginning-cottonclassing/ uster-hvi/ (Accessed 5 September 2013)
• 5. Majumdar A., Majumdar P. K., Sarkar B., “Selecting Cotton Bales By Spinning Consistency Index and Micronaire Using Artificial Neural Networks”, AUTEX Research Journal, 2004, 4: 1, March, http://www.autexrj.org/No1-2004/0092. pdf , (2004, accessed 1 March 2013)
• 6. Bedez Ute T., Research On Spinning of Short Staple Fibres by Sirospun System, Ege University Graduate School of Natural and Applied Sciences, Master of Science Thesis, 2007.
• 7. Schneider U., Uster Quantum 2, Application Report, Current trends to improve the yarn quality in spinning mills, The Yarn Quality Assurance System, http://www.uster. com/fileadmin/customer/Knowledge/Textile_Know_How/ Yarn_clearing/UQ2_Current_trends_to_improve_the_ yarn.pdf, (2008, accessed 1 March 2013)
• 8. Bedez Ute T., Kadoglu H., Regressional Estimation of Yarn Hairiness of Cotton Sirospun Yarns From AFIS Fibre Properties, ITC&DC-International Textile, Clothing & Design Conference, 7-10 2012, Dubrovnik, Croatia.
• 9. Parthasarath, V., Evolution in cotton testing instruments, The Indian Textile Journal April 2008.
• 10. Ureyen M.E. and Kadoğlu H.: Regressional Estimation of Ring Cotton Yarn Properties from HVI Fibre Properties, Textile Research Journal, 2006, 76: p360.
• 11. http://en.wikipedia.org/wiki/T-statistic#Definition, (2011, accessed 4 September 2013).
• 12. Ureyen, M. E., and Kadoğlu H., 2007, “The Prediction of Cotton Ring Yarn Properties from AFIS Fibre Properties by Using Linear Regression Models”, Fibres & Textiles in Eastern Europe, 2007 :15, No. 4, p 63.