Abstract
Yarn hairiness is usually characterized by the amount of free fibers protruding from the compact yarn body towards the outer yarn surface. Its determining is essential because it influences the post spinning operation and parameters of the textile product. Factors influencing yarn quality, mainly yarn hairiness, are correlated and therefore the conclusions depend on all production conditions. Main aim of this article is to show, how quickly and effectively the statistical methods principal component analysis can be applied to obtain information about similarity of yarn samples behavior and build complex quality criterion for yarn. A set of ring yarns is produced for complex quality analysis. The Zweigle G 567 and Uster Tester 4 are used for yarn hairiness investigation.
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