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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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145_05_35_5415_druk.pdf | 1.73 MB | Adobe PDF | View/Open |
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