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Study of the Hairiness of Polyester-Viscose  Blended Yarns. Part IV - Predicting Yarn Hairiness Using Fuzzy Logic

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Abstract:

This paper is a continuation of studies on the hairiness of polyester-viscose blended ring spun yarns. The aim of this study is to predict the hairiness of polyester-viscose blended yarns using a fuzzy logic system. For this purpose, based on the ANOVA statistical test, some parameters that have more influence on yarn hairiness were selected: spindle speed, traveller count, and yarn count, which are taken into account as the inputs, and yarn hairiness is counted as the output in the fuzzy set. The hairiness of ring spun polyester-viscose blended yarns was successfully modelled using fuzzy logic. The results showed that the correlation coefficient between the predicted and experimental values of hairiness is acceptable (R2 = 0.931).

Tags:

fuzzy logic, polyester-viscose blended yarn, yarn hairiness, spindle speed, traveller count, yarn coun.

Citation:

Haghighat E, Johari MS, Etrati SM, Tehran MA. Study of the Hairiness of Polyester-Viscose Blended Yarns. Part III - Predicting Yarn Hairiness Using Fuzzy Logic. FIBRES & TEXTILES in Eastern Europe 2012; 20, 3(92): 39-42.

Published in issue no 3 (92) / 2012, pages 39–42.

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