Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/46231
Title: Detection of Remote Sensing Warp Tension during Weaving on Plain Twill and Satin Fabrics
Authors: Kaplan, Volkan
Keywords: weaving
fuzzy logic
warp tension
image processing
Defect Detection
Inequality
Elongation
Publisher: Inst Chemical Fibres
Abstract: Primp tensions were measured while a machine was operating on a woven cotton fabric with three different woven patterns. This study was carried out with image analysis methods using a high speed camera. Three weave pattern types: plain, twill and satin were woven on the same weaving machine, and thus it could be understood how weave pattern differences affect warp tension. Each of these three weaves was woven in three weft densities: 20, 28 and 45 wefts per cm. These fabrics were able to be made on a weaving machine with an automatic dobby. It was aimed to investigate warp tension differences for three basic weave patterns while keeping all machine settings constant. The weave settings of the dobbv were changed for plain, twill and satin weaves. Warp tension calculation was based on the warp elasticity theory. Warp elasticises were measured by image processing methods in MATLAB using a high-speed camera. It was aimed to improve upon the new method of warp extension measurement of fabric when the loom is in operation. It was observed that the warp tension in plain fabric was higher than for twill and satin under the same conditions.
URI: https://doi.org/10.5604/01.3001.0014.2726
https://hdl.handle.net/11499/46231
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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