Publication: Optimization of knitted fabrics for better thermo-physiological comfort by using taguchi-based principal component analysis
No Thumbnail Available
Date
2023-02-06
Authors
Karahan, Mehmet
Authors
Kazmi, Kashaf
Javed, Zafar
Salman, Muhammad
Iftikhar, Fatima
Ahmed, Naseer
Naeem, Jawad
Jabbar, Abdul
Naeem, M. Salman
Journal Title
Journal ISSN
Volume Title
Publisher
Univ Ljubljana
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/m(2) had higher air and water vapor permeability value, but a lower thermal resistance value.
Description
Keywords
Water-vapor permeability, Air permeability, Stretch, Fibre blends, Fabric construction, Heat and transmission properties of fabric, Statistical analysis, Science & technology, Technology, Materials science, textiles, Materials science