Please use this identifier to cite or link to this item: 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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