Predicting Yarn Quality Performance Based on Fibers types and Yarn Structure

Egyptian spinning factories are faced to deterioration in their quality capabilities in the last years due to instability in cotton fiber types and quantities. This affects Quality and efficiency of knitting and weaving process as they depend on yarn properties. Instead of working with different types of Egyptian cottons the spinning factories had to process imported cotton types and polyester fibers with their trade names, for the first time, without real information's about their specifications. The aim of this work is to model the dependence of yarn quality (tenacity, evenness and imperfections) obtained within the last years at an Egyptian factory on type of cotton and polyester, twist number/factor, plying, linear density and cotton ratio of the yarn manufactured, through linear regression equations. Models concerning the different cotton fibers, blends of cotton and polyester and both the two groups are obtained. Linear regression equations relating the dependence of yarn properties obtained within the last five years at an Egyptian factory on material and yarn structures was determined, this will enable the factory to plan and improve the yarn quality level. Cotton type, yarn count and twist have the higher effect on all the properties studied also the yarn tensile strength and its variation depend on most of the factors studied. Cotton type Giza 86 give the best yarn properties followed by Giza 90 and Greece cotton fibers respectively of all yarns. A fifty percent of polyester fibers in blended yarns improved the tensile properties beside to evenness. (N. A. Kotb. Predicting Yarn Quality Performance Based on Fibers types and Yarn Structure. Life Sci J 2012;9(3):1009-1015). (ISSN: 1097-8135). http://www.lifesciencesite.com . 142

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