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http://hdl.handle.net/11452/30038
Title: | Investigation of the tribological behaviors of upholstery woven fabrics after abrasion |
Authors: | Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği. 0000-0002-6415-7782 Akgün, Mine AAG-9756-2021 9839293900 |
Keywords: | Abrasion Deformation Friction Parameters Roughness Surfaces Upholstery Woven fabric Materials science |
Issue Date: | 13-May-2020 |
Publisher: | Sciendo |
Citation: | Akgün, M. (2020). "Investigation of the tribological behaviors of upholstery woven fabrics after abrasion". Autex Research Journal, 20(2), 110-120. |
Abstract: | Fabric surface tribology is an important area of study in upholstery fabrics, which is exposed to high friction and abrasion effects. In the studies on the tribology of upholstery fabrics, it is ensured that criteria such as better performance, less degradation, increased usage time, and user comfort are determined and taken into consideration in the woven fabric design. Surface roughness and friction coefficients are important parameters used in determining abrasion, deformation, and wear behaviors of fabrics. In this study, the surface abrasion behaviors of upholstery fabrics woven with basic and jacquard weave patterns and also different structural parameters were investigated in terms of the changes in surface roughness parameters (amplitude parameters: R-a, R-pm, and R-vm and hybrid parameters: Delta(a)) and the changes in surface friction coefficients. These results were also related to the state of the visual changes in the fabrics. R-pm, R-vm, and Delta(a) being roughness parameters were found to be important in the evaluation of the surface deformation of the fabrics after abrasion besides the Ra parameter. Results showed that the Delta(a )roughness parameter could be suitable for evaluating the deformation of the textile structures to be used, particularly in sensitive applications. |
URI: | https://doi.org/10.2478/aut-2019-0021 http://hdl.handle.net/11452/30038 |
ISSN: | 1470-9589 2300-0929 https://sciendo.com/article/10.2478/aut-2019-0021 |
Appears in Collections: | Scopus Web of Science |
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File | Description | Size | Format | |
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Akgün_2020.pdf | 2.47 MB | Adobe PDF | View/Open |
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