Thermal-wet Comfort Research Articles

Evaluation and Prediction for Thermal-Wet Comfort Properties of Knitting Fabrics Based on Neural Network

. This paper studied the relationship between knitting fabrics and human comfort from two facets: thermal resistance and water-vapour resistance. The possible physical property indexes to affect thermal-wet comfort were tested, and analyzed by principal component analysis to find the main influence factors. These main influence factors acted as input values of neural network, while thermal resistance and water-vapour resistance acted as output values. The neural network was established and predicted after training. The result showed a considerable relativity. So there had certain accuracy and practical value with neural network model to predict thermal-wet comfort properties of knitting fabrics.

Performance Test and Analysis of Clothing Materials

In this paper, we focus on the need for researching the performance of clothing materials. It chose the knitting fabric to be the object of study, and took the performance tests, which include basic performance, style, comfort and clothing comfort. After that, it analysis that these three variables— “fibers”, “yarn properties” and “fabric performance”— influence clothing thermal-wet comfort. The statistic analyses include one-way ANOVE, correlation analysis and principal component analysis. Based on the contrastive analysis of test results, it can be gain the effect of these three variables on clothing comfort.

The Effect of Material Performances of Knit Fabric on Clothing Comfort

With the purpose of clothing thermal-wet comfort, this paper chooses clothing materials to be the object of study. The research focuses on how performances of clothing materials and parameters which affect performances of clothing materials influence on clothing comfort. And this paper is proposed that "Fiber - Yarn - Fabrics - Clothing" can be made as the research system for the first time in the field of clothing thermal-wet comfort studying. According to the experiments, it analysis that these three variables— “fibers”, “yarn properties” and “fabric performance”— affect clothing thermal-wet comfort. Based on the contrastive analysis of test result, it can gain the effect of these three variables on clothing comfort. The result is, 1, in these three variables, the effect of yarn fineness on thermal insulation is the highest level of significance, and the second one is fibrousrawmaterials. 2,under the situation which other two ones among these three variables are constant in chosen laboratory samples of this paper, the knitting fabric which is with the cotton fabric, 14.6tex, jacquard weave is the best comfortable.