Response Surface Regression Models for Prediction of Ring Spun Yarn Properties

Hanen Ghanmi (Laboratory of Mechanic Engineering LGM_MA05, ENIM, University of Monastir, 5019 Monastir, Tunisia and Department of Textile Engineering, ENIM, University of Monastir, 5019 Monastir, Tunisia)
Adel Ghith (Department of Textile Engineering, ENIM, University of Monastir, 5019 Monastir, Tunisia)
Tarek Benameur (Laboratory of Mechanic Engineering LGM_MA05, ENIM, University of Monastir, 5019 Monastir, Tunisia)

Research Journal of Textile and Apparel

ISSN: 1560-6074

Publication date: 1 November 2015

Abstract

The models that are developed by using response surface regression with many iterations on a Minitab16 statistical software predict very well the different yarn properties since the R2 values obtained are very important. In addition, these models show that metric number and twist have the highest effect on the four studied parameters

Keywords

Citation

Ghanmi, H., Ghith, A. and Benameur, T. (2015), "Response Surface Regression Models for Prediction of Ring Spun Yarn Properties", Research Journal of Textile and Apparel, Vol. 19 No. 4, pp. 1-10. https://doi.org/10.1108/RJTA-19-04-2015-B001

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2015 Emerald Group Publishing Limited

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