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Optimization of knitted fabrics for better thermo-physiological comfort by using Taguchi-based principal component analysis
ID Kazmi, Kashaf (Author), ID Karahan, Mehmet (Author), et al.

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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.

Language:English
Keywords:fibre blends, fabric construction, heat and transmission properties of fabric, statistical analysis
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:NTF - Faculty of Natural Sciences and Engineering
Publication status:Published
Publication version:Version of Record
Year:2023
Number of pages:Str. 18-30
Numbering:Vol. 66, no. 1
PID:20.500.12556/RUL-164738 This link opens in a new window
UDC:677.075.027.625.15
ISSN on article:0351-3386
DOI:10.14502/tekstilec.65.2022024 This link opens in a new window
COBISS.SI-ID:204626691 This link opens in a new window
Note:
V datoteki članka je naveden napačen DOI: 10.14502/tekstilec.66.2022024. (Datum opombe: 21. 1. 2026)
Publication date in RUL:08.11.2024
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Record is a part of a journal

Title:Tekstilec : glasilo slovenskih tekstilcev
Shortened title:Tekstilec
Publisher:Zveza inženirjev in tehnikov tekstilcev, Splošno združenje tekstilne industrije, Zveza inženirjev in tehnikov tekstilcev, Splošno združenje tekstilne industrije, Društvo inženirjev in tehnikov tekstilcev, Univerza v Ljubljani, Naravoslovnotehniška fakulteta, Oddelek za tekstilstvo, Založba Univerze v Ljubljani
ISSN:0351-3386
COBISS.SI-ID:763396 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Title:Optimizacija toplotnega udobja pletiv z analizo glavnih komponent, temelječo na Taguchijevi metodi
Abstract:
Prepustnost za vodo, zračna prepustnost in toplotni upor pletiv pomembno vplivajo na toplotno udobje športnih oblačil v različnih okoljskih razmerah. V tej raziskavi so bila izdelana frotirna in flisna pletiva s spreminjanjem razmerja bombaža in poliestrskih vlaken ter spreminjanjem ploščinske mase. Pred pranjem in po njem so bile pletivom analizirane zračna prepustnost, prepustnost vodne pare in toplotni upor. Večodzivna optimizacija lastnosti toplotnega udobja pletiv je bila izvedena s pomočjo analize glavnih komponent (AGK) in Taguchijevega razmerja signal/šum (razmerje AGK-S/N) za optimalne lastnosti. Ugotovljeno je bilo, da so izbrani parametri (vrsta pletiva, plemenitenje, vsebnost vlaken in ploščinska masa pletiva) pomembno vplivali na lastnosti toplotnega udobja pletiv. Analiza glavnih komponent je pokazala, da je neoprano 100-odstotno bombažno frotirno pletivo s ploščinsko maso 220 g/m$^2$ doseglo najvišje vrednosti zračne prepustnosti in prepustnosti vodne pare in najnižji toplotni upor.

Keywords:mešanice vlaken, konstrukcija pletiva, toplota, prepustnost, statistična analiza

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