Journal of Fiber Bioengineering and Informatics
 
Journal of Fiber Bioengineering and Informatics
Current Issue | Archive | Adv Search |
Correlation Analysis Between Comfort and Mechanical Properties of Sports Fabrics
Beijing Institute of Fashion Technology
Download: PDF (2096 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  

Given the time-consuming and costly measurement of heat-moisture comfort indexes and the difficulty of quantifying contact comfort, 20 sports fabrics were tested for air permeability, moisture permeability, thermal resistance, moisture resistance, sensory evaluation indicators and 18 mechanical parameters. Then, the correlation between contact comfort indexes and mechanical parameters was analysed. On this basis, multiple linear regression prediction models for thermal resistance, moisture resistance and contact comfort indexes of sports fabrics were established. The results show that the thermal resistance of sports fabrics can be predicted by Compression work (CW) and Compression recovery rate (CRR) indicators, and the moisture resistance can be predicted by Bending work in the warp (BWa) and CRR indicators. The smoothness of sports fabrics can be predicted by CW and Compression stiffness (CAR), the softness by Bending work in weft (BWe) and CAR, the warmth by CW, BWe and Surface friction coefficient in weft (SFCe), and the combined feeling by Bwe and CAR. The models were also validated and are considered to have practical implications for companies and consumers when assessing and improving the comfort of sports fabrics.

Key wordsSports Fabrics      Heat-moisture Comfort      Contact Comfort      Mechanical Properties      Regression Models     
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Jia-Lu Fang
Jian-Xia Du
Zheng-Dong Liu
Cite this article:   
Jia-Lu Fang,Jian-Xia Du,Zheng-Dong Liu. Correlation Analysis Between Comfort and Mechanical Properties of Sports Fabrics[J]. Journal of Fiber Bioengineering and Informatics, 2023, 16(2): 149-161.
Copyright All Rights Reserved © Journal of Fiber Bioengineering and Informatics
Supported by Beijing Magtech Co.ltd , E-mail: support@magtech.com.cn