A study on the relationship between irregularity and hairiness of spun yarns

Xia, Zhigang and Wang, Hongshan and Wang, Xin and Ye, Wenxiang and Xu, Weilin (2011) A study on the relationship between irregularity and hairiness of spun yarns. Textile Research Journal, 81 (3). pp. 273-279. ISSN 0040-5175

Abstract

In this study, Photoshop software was used to do image analysis on the photos of spun yarns. The result showed that yarn could be divided into two parts: the surface hairs and the stem. Based on this finding, a mathematical model of yarn unevenness was built to analyze the relationship between yarn unevenness and surface hairiness. The relationships among the coefficients of mass variance of the yarn, the stem and the surface hairs, expressed as CVt, CVs and CVh, respectively, were investigated in detail. Results indicate that the CVs of an uneven yarn always coincides with the irregularity of the yarn hairiness. More specifically, the CVt of a yarn cannot be better than those of both yarn hairiness and stem (CVh and CVs), even if one of them is excessive. It is rare for CVt to be higher than CVs after removal of yarn hairs. In particular, it is irrational for the CVt value to be higher than both CVs and CVh, which prompts a rethinking of the exact distribution of yarn hairs on the yarn body.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © The Author(s) 2011. Permanent restricted access to published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 16 Jul 2014 23:42
Last Modified: 09 Feb 2017 02:52
Uncontrolled Keywords: spun yarns; unevenness CV; yarn irregularity; yarn stem
Fields of Research : 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
09 Engineering > 0910 Manufacturing Engineering > 091012 Textile Technology
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1177/0040517510380112
URI: http://eprints.usq.edu.au/id/eprint/25524

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