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Prediction of Thermal Conductivity of Elastic Single Jersey Knitted Fabric

Authors :
Amany Khalil
Pavla Těšinová
Jakub Wiener
Ahmed Samy Eldeeb
Abdelhamid R.R. Aboalasaad
Source :
Journal of Natural Fibers, Vol 21, Iss 1 (2024)
Publication Year :
2024
Publisher :
Taylor & Francis Group, 2024.

Abstract

This work aims to derive a mathematical model that describes the thermal conductivity of the elastic single jersey knitted fabric (SJKF) based on the loop geometry and the yarn and fibers inclination on the direction of heat flow, and to assist the manufactures of elastic SJKF to predict the thermal conductivity from the fabric construction parameters. The main fabric construction parameters in this model are yarn count, loop length, and spandex weight percent. To validate the proposed model, elastic SJKF samples were produced at two different counts and five levels of loop length and spandex weight percent. The thermal conductivity of these samples was measured and compared to the predicted values from the new model rather than the previous three models (Maxwell – Eucken 2, Schuhmeister, Militky models). From the results, it could be concluded that the values of thermal conductivity from the model are very closed to the experimental values; therefore, the new model could be used to predict the thermal conductivity of elastic SJKF.

Details

Language :
English
ISSN :
15440478 and 1544046X
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Natural Fibers
Publication Type :
Academic Journal
Accession number :
edsdoj.6cada4681f4df2bd71ea66ea78046f
Document Type :
article
Full Text :
https://doi.org/10.1080/15440478.2024.2335326