{"title":"Influence of structural and constructional parameters of knitted fabrics on the thermal properties of men's socks","authors":"Predrag Tasic, D. Trajković, J. Geršak","doi":"10.2298/hemind220724004t","DOIUrl":null,"url":null,"abstract":"The research is focused on determining the influence of structural and constructional parameters of rib knitted fabrics on the thermal properties of men's socks. Men's socks are made in three different pattern constructions of three types of basic yarns: bamboo, cotton and a cotton/polyester blend with the additional filament polyamide yarn and wrapped rubber wire for the so-called render socks. For all analyzed sock rib patterns, the most important structural parameters of the yarn and construction parameters of the knitted fabrics were determined. Thermal properties of socks such as the cool touch feeling property, thermal conductivity, heat retention coefficient and thermal resistance were determined by using Thermal Labo and Thermal Mannequin measuring devices. The structural and constructional parameters of knitted fabrics were shown to affect the investigated thermal properties of the socks, making them more or less insulating or heat conducting. Values of the warm-cold feeling parameter as well as thermal conductivity vary depending on the construction pattern, showing a decrease as the number of face loops is increased i.e. in the sequence R1:1> R3:1> R7:1. The ability to retain heat decreases in the opposite sequence R7:1 > R3:1 > R1:1. The highest values of heat retention were determined for R7:1 rib knitted socks by both methods. A regression equation has been established with thickness, loop length, mass per unit area and porosity as independent variables, and thermal resistance (determined by the Thermo Labo method) as the dependent variable. The loop length and mass per unit area were shown to contribute significantly to the model.","PeriodicalId":9933,"journal":{"name":"Chemical Industry","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Industry","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.2298/hemind220724004t","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The research is focused on determining the influence of structural and constructional parameters of rib knitted fabrics on the thermal properties of men's socks. Men's socks are made in three different pattern constructions of three types of basic yarns: bamboo, cotton and a cotton/polyester blend with the additional filament polyamide yarn and wrapped rubber wire for the so-called render socks. For all analyzed sock rib patterns, the most important structural parameters of the yarn and construction parameters of the knitted fabrics were determined. Thermal properties of socks such as the cool touch feeling property, thermal conductivity, heat retention coefficient and thermal resistance were determined by using Thermal Labo and Thermal Mannequin measuring devices. The structural and constructional parameters of knitted fabrics were shown to affect the investigated thermal properties of the socks, making them more or less insulating or heat conducting. Values of the warm-cold feeling parameter as well as thermal conductivity vary depending on the construction pattern, showing a decrease as the number of face loops is increased i.e. in the sequence R1:1> R3:1> R7:1. The ability to retain heat decreases in the opposite sequence R7:1 > R3:1 > R1:1. The highest values of heat retention were determined for R7:1 rib knitted socks by both methods. A regression equation has been established with thickness, loop length, mass per unit area and porosity as independent variables, and thermal resistance (determined by the Thermo Labo method) as the dependent variable. The loop length and mass per unit area were shown to contribute significantly to the model.