Introducing a novel model for predicting effective thermal conductivity of spacer fabrics based on their structural parameters

• Published in: Journal of thermal analysis and calorimetry Vol. 147; no. 12; pp. 6615 - 6629
• Main Authors: Dehghan, Neda, Payvandy, Pedram, Talebi, Shahram
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.06.2022; Springer; Springer Nature B.V
• Subjects: Analytical Chemistry; Chemistry; Chemistry and Materials Science; Density; Fabrics; Heat conductivity; Heat transfer; Inorganic Chemistry; Mathematical models; Measurement Science and Instrumentation; Parameters; Physical Chemistry; Polymer Sciences; Porosity; Structural models; Textile fabrics; Textile industry; Textiles; Thermal conductivity; Thermal properties; Thermodynamic properties; Thickness; Effective thermal conductivity; Structural model; Spacer fabrics; Thermal analysis
• ISSN: 1388-6150; 1588-2926
• DOI: 10.1007/s10973-021-11000-0

The knowledge of the thermal properties of textiles is important with regard to their vast applications in most industries. Thermal properties, as one of the physical features of a textile, are influenced by its structural parameters such as thickness, density, and so on. In this study, a new structural model is developed to predict the effective thermal conductivity in knitted spacer fabrics. In the first step, a spacer fabric was considered as a three-layer set. The thermal conductivity of each layer was calculated separately, and then the effective thermal conductivity of fabric was determined based on its structural parameters. The performance of the proposed model was evaluated using spacer fabrics, and the results were compared with those of other models. The results of the new model and the experimental method showed that the most effective parameters involved in thermal conductivity are thickness, porosity and density. A good agreement (with R 2  = 0.91) was found between the results of the proposed model and the experimental values.