Measurement of the Moisture and Heat Transfer Rate in Light-weight Nonwoven Fabrics Using an Intelligent Model

• Autorzy: Rahnama M. , Semnani D. , Zarrebini M.

Warianty tytułu

PL

Badanie szybkości przepływu wilgoci i ciepła przez włókniny o niewielkiej masie powierzchniowej korzystając z modelu teoretycznego

• Języki publikacji: EN

Abstrakty

EN

In this paper, an intelligent model of heat and moisture propagation in light nonwoven fabrics was designed by conversion of a numerical propagation model of a partial differential equation to a feed forward propagation neural network. Propagation coefficients of heat and moisture transfers were estimated from the intelligent model for nonwoven samples containing hydrophilic natural and hydrophobic synthetic fibres. The results presented that the error of the model is acceptable less than 4.7% and 7.9% for estimation of heat and moisture diffusivity coefficients, respectively. The Anova test revealed that while fibre type and fabric thickness affected heat and moisture transfer through the fabric, factors such as surface mass density, heat and the moisture transfer constant were not significant. Also it was found that the optimum transfer rate was observed in the case of samples containing viscose or a viscose and polypropylene blend in the ratio of 60%:40%, respectively.

PL

Inteligentny model przepływu wilgoci i ciepła przez włókniny o małej masie powierzchniowej został opracowany dla zasilania sztucznych sieci neuronowych na podstawie modelu numerycznego cząstkowych równań różniczkowych. Badano włókniny zawierające włókna hydrofobowe i hydrofilowe. Stwierdzono, że dokładność modelu jest akceptowalna dla modelu rozpatrywanych włókien. Test Anova wykazał, że rodzaj włókna i grubość włókniny wpływają na przepływ ciepła i wilgoci przez włókninę. Stwierdzono, że dla próbek zawierających wiskozę lub mieszankę wiskozy i polipropylenu w stosunku 60%:40% uzyskano optymalne prędkości przepływu.

Słowa kluczowe

EN

nonwovens; moisture transfer; heat transfer; comfort; neural network

PL

włókniny; transfer wilgoci; przepływ ciepła przez włókniny; komfort; sieci neuronowe

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2013
• Tom: Vol. 21, no. 6 (102)
• Strony: 89--94
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

Rahnama M.

• Department of Textile Engineering, Isfahan University of Technology, Isfahan, Iran

autor

Semnani D.

• Department of Textile Engineering, Isfahan University of Technology, Isfahan, Iran

autor

Zarrebini M.

• Department of Textile Engineering, Isfahan University of Technology, Isfahan, Iran

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