Modeling the Thermal Performance of Anisotropic Heat Conduction Fabric with Different Structural Parameters

Autor: Xi Wu, Pengju Yu, Xiaoxi Sun, Xungai Wang, Wenbin Li
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Natural Fibers, Vol 20, Iss 1 (2023)
Druh dokumentu: article
ISSN: 1544-0478
1544-046X
15440478
DOI: 10.1080/15440478.2023.2181263
Popis: Differences in yarn and fabric structures lead to different thermal properties of the fabric, and even the thermal comfort of the textile. The heat transfer model of the cotton woven fabric with different structural parameters was established by considering the effect of the anisotropic heat conduction of the fiber. The finite element method and experiment were combined to explore the influence of woven structure, yarn fineness, and yarn count of fabric on the heat properties of fabrics. A stronger correlation was found between experimental results and the anisotropic model than the isotropic model. Also, plain fabrics have the strongest heat transfer properties followed by twill then satin fabric. As the yarn fineness increases from 18.5 to 35.5 tex, the heat transfer property of the samples decreases. When warp/weft density goes from 260 to 330 ends/10 cm, the heat transfer capacity of the samples shows an increasing trend. The fiber volume fraction of the fabric may be an important factor that can explain the above-mentioned relationship.
Databáze: Directory of Open Access Journals