Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/22807
Title: Evaluation of chenille yarn abrasion behavior with abrasion tests and image analysis
Authors: Uludağ Üniversitesi/Mühendislik Mimarlık Fakültesi/Tekstil Mühendisliği Bölümü.
0000-0003-3283-4117
0000-0003-2494-6485
Çeven, Erhan Kenan
Özdemir, Özcan
AAG-4653-2019
B-1488-2019
6504089018
8577587200
Keywords: Materials science
Wool
Abrasion resistance
Chenille yarn
Fiber fineness
Image analysis
Sirospun
Parameters
Wool
Wear resistance
Polyesters
Knit fabrics
Computer simulation
Abrasion
Wool blend
Polyester-wool blend
Pile
Mathematical analysis
Knitted fabric
Chenille yarn
Yarn
Issue Date: 2006
Publisher: Sage Publications
Citation: Çeven, E. K. ve Özdemir, Ö. (2006). ''Evaluation of chenille yarn abrasion behavior with abrasion tests and image analysis''. Textile Research Journal, 76(4), 315-321.
Abstract: Chenille yarns are vulnerable to abrasion because of easy pile loss. In this study different chenille yarns were produced from sirospun and two-folded ring, 100% wool and 50% wool-50% polyester blend yarns of different fiber fineness. A yarn abrasion device was designed in order to measure the abrasion resistance of chenille yarns and the abrasion resistance of knitted fabrics made from these yarns was measured with a Martindale Abrasion tester. In addition, chenille yarns abraded for different numbers of abrasion cycles were analyzed using a computerized image analysis method to evaluate the abrasion behavior. The results were analyzed statistically. According to the results, the use of wool blends and sirospun yams as pile materials led to an improvement in abrasion resistance. Correlation analyses confirmed strong linear relationships with high values of correlation coefficients (above 0.9) between the mass loss values obtained from abrasion tests and the abrasion coefficients of the chenille yams obtained from image analysis.
URI: https://doi.org/10.1177/0040517506061961
https://journals.sagepub.com/doi/10.1177/0040517506061961
http://hdl.handle.net/11452/22807
ISSN: 0040-5175
1746-7748
Appears in Collections:Scopus
Web of Science

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