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Abstrakty
In this study, an algebraic model and its experimental verification was carried out to investigate the effect of moisture content on the heat loss that takes place due to conduction of sock fabrics. The results show that increasing moisture content in the studied socks caused a significant increase in their conductive heat loss. Plain knitted socks with different fiber composition were wetted to a saturated level, and then their moisture content was reduced stepwise. When achieving the required moisture content, the socks samples were characterized by the Alambeta testing instrument for heat transfer. Three different existing modified mathematical models for the thermal conductivity of wet fabrics were used for predicting thermal resistance of socks under wet conditions. The results from both ways are in very good agreement for all the socks at a 95% confidence level. In the above-mentioned models, the prediction of thermal resistance presents newly a combined effect of the real filling coefficient and thermal conductivity of the so-called “wet” polymers instead of dry polymers. With these modifications, the used models predicted the thermal resistance at different moisture levels. Predicted thermal resistance is converted into heat transfer (due to conduction) with a significantly high coefficient of correlation.
Czasopismo
Rocznik
Tom
Strony
391--403
Opis fizyczny
Bibliogr. 54 poz.
Twórcy
autor
- Faculty of Textile Engineering, Technical University of Liberec, Czech Republic
autor
- Faculty of Textile Engineering, Technical University of Liberec, Czech Republic
autor
- Faculty of Textile Engineering, Technical University of Liberec, Czech Republic
autor
- Faculty of Textile Engineering, Technical University of Liberec, Czech Republic
autor
- Faculty of Textile Engineering, Technical University of Liberec, Czech Republic
autor
- Faculty of Textile Engineering, Technical University of Liberec, Czech Republic
autor
- Institute for Textile Machinery and Textile High-Performance Materials Technology (ITM), Technical University, Dresden, Germany
Bibliografia
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ecd133d3-0d46-4694-8f1f-6389e25bf0c6