Kazmi, K., Javed, Z., Salman, M. et al. (6 more authors) (2023) Optimization of Knitted Fabrics for better Thermo-Physiological Comfort by using Taguchi-based Principal Component Analysis. Tekstilec, 66 (1). pp. 18-30. ISSN 0351-3386
Abstract
The water, air permeability and thermal resistance of fabrics are important attributes that have a significant impact on the thermal comfort properties of sportswear fabrics in different environmental conditions. In this work, terry and fleece fabrics were developed by varying the fibre content and mass per unit area of fabrics. Moreover, the thermo-physical properties of the developed fabrics, including air permeability, water vapor permeability and thermal resistance, were analysed before and after washing. The multi-response optimization of the thermal comfort properties of knitted fabrics was performed using principal component analysis (PCA) and the Taguchi signal-to-noise ratio (PCA-S/N ratio) to achieve optimal properties. It was determined that the selected parameters (fabric type, finishing, fibre content and fabric mass per unit area) had a significant effect on the thermal comfort properties of knitted fabrics. The PCA analysis showed that 100% cotton terry fabric before washing with an aerial weight of 220 g/m2 had higher air and water vapor permeability value, but a lower thermal resistance value.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Ⓒ 2023 Kashaf Kazmi, Zafar Javed, Muhammad Salman, Fatima Iftikhar, Naseer Ahmed, Jawad Naeem, Abdul Jabbar, Mehmet Karahan, M. Salman Naeem. Content from this work may be used under the terms of the Creative Commons Attribution CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Authors retain ownership of the copyright for their content, but allow anyone to download, reuse, reprint, modify, distribute and/or copy the content as long as the original authors and source are cited. No permission is required from the authors or the publisher. This journal does not charge APCs or submission charges. |
Keywords: | fibre blend;, fabric construction; heat and transmission properties of fabric; statistical analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Aug 2024 09:55 |
Last Modified: | 22 Aug 2024 09:55 |
Status: | Published |
Publisher: | University of Ljubljana Press |
Identification Number: | 10.14502/tekstilec.65.2022024 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216369 |