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Detection of Warp Elongation in Satin Woven Cotton Fabrics Using Image Processing

Research and development

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Nr DOI: 10.5604/12303666.1183202

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Abstract:

In this study, warp elongations in a satin fabric were detected using image processing to reduce yarn breakage during weaving. It was aimed to increase the productivity of the weaving looms. In this work, a high sensitive camera was used for the analyses. The warp elongation was analysed and determined statistically using MATLAB software. The warp elongations in satin woven fabric samples were examined and detected on a working loom using a high sensitivity camera. Additionally the strains for each warp yarn were measured and recorded. Different elongations for warp ends were observed, attributed to the differences in mechanism settings. The difference in the elongation of the warp yarns causes warp yarn breakages, which decrease productivity during weaving. This warp breaking ratio could be reduced by making necessary adjustments to the shedding mechanism on the loom.

Tags:

weaving, fuzzy logic, warp elongation, image processing, yarn breakage.

Citation:

Kaplan V, Yildiz Varan N, Dayik M, Turhan Y, Durur G. Detection of Warp Elongation in Satin Woven Cotton Fabrics Using Image Processing. IBRES & TEXTILES in Eastern Europe 2016; 24, 4(118): 59-62. DOI: 10.5604/12303666.1183202

Published in issue no 4 (118) / 2016, pages 59–62.

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