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https://hdl.handle.net/11499/9855
Title: | Detection of warp elongation in satin woven cotton fabrics using image processing | Authors: | Kaplan, Volkan Yıldız Varan, Nilüfer Dayik, M. Turhan, Yıldıray Durur, Güngör |
Keywords: | Fuzzy logic Image processing Warp elongation Weaving Yarn breakage Cameras Coal breakage Elongation Looms MATLAB Productivity Silk Wool Yarn High sensitivity Matlab- software Shedding mechanisms Warp yarns Weaving loom Woven cotton fabrics Woven fabrics |
Publisher: | Institute of Biopolymers and Chemical Fibres | 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. © 2016, Institute of Biopolymers and Chemical Fibres. All rights reserved. | URI: | https://hdl.handle.net/11499/9855 https://doi.org/10.5604/12303666.1183202 |
ISSN: | 1230-3666 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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