Salopek Čubrić Ivana, Potočić Matković Vesna Marija, Pavlović Željka, Pavko Čuden Alenka
Department of Textile Design and Management, Faculty of Textile Technology, University of Zagreb, Prilaz baruna Filipovića 28a, HR-10000 Zagreb, Croatia.
Department of Textiles, Graphic Arts and Design, Faculty of Natural Sciences and Engineering, University of Ljubljana, Snežniška 5, SI-1000 Ljubljana, Slovenia.
Materials (Basel). 2022 May 5;15(9):3306. doi: 10.3390/ma15093306.
Comfort is an important quality criterion, especially for sportswear. It influences well-being, performance and efficiency. The necessary dissipation of heat and air flow, at high metabolic rates, must be designed and planned in advance. The influence of structure, density, mass and thickness of fabric were considered as well as yarn material composition, yarn linear density, yarn evenness and yarn hairiness. The influence of the mentioned parameters on thermal properties and air permeability was calculated. From the correlation analysis, it can be concluded that yarn's linear density, yarn short fibers hairiness, and mass per unit area of knitted fabric has the greatest impact on heat resistance. The yarn linear density, the yarn hairiness of the longer protruding fibers, and the thickness of the knitted fabric have the greatest impact on air permeability. A statistically significant model of multiple linear regression equations was offered to predict the thermal comfort of knitted fabric.
舒适性是一项重要的质量标准，尤其是对于运动服装而言。它会影响舒适度、性能和效率。在高代谢率情况下，必须提前设计和规划所需的热量散发及空气流通。研究考虑了织物的结构、密度、质量和厚度的影响，以及纱线材料组成、纱线线密度、纱线均匀度和纱线毛羽的影响。计算了上述参数对热性能和透气率的影响。通过相关性分析可以得出结论，纱线线密度、纱线短纤维毛羽以及针织物的单位面积质量对耐热性影响最大。纱线线密度、较长突出纤维的纱线毛羽以及针织物的厚度对透气率影响最大。提供了一个具有统计学意义的多元线性回归方程模型来预测针织物的热舒适性。
