Evaluation model of fabric transient cooling sensation based on multiple stepwise regression analysis

In this paper, according to the one-dimensional heat transfer mechanism between fabric and human body, it is found that different thermal properties affect different heat transfer stages of fabric. Therefore, we used the maximum heat flux qmax as the index to characterize the transient contact cool feeling of fabrics, and measured the thermal properties, various specifications and surface morphology of 40 kinds of summer fabrics. Firstly, we discussed the influence of the above properties on the transient cool feeling. Secondly, according to multivariate stepwise regression, the significant representative variables are selected, and the prediction model of transient coolness and fabric properties is established. Furthermore, the model was verified to explore the subjective and objective consistency. The results show that, in the transient heat transfer stage, the influencing factors that are significantly related to the cool feeling of fabric include fabric thickness, grammage, volumetric heat capacity, thermal conductivity, warp and weft density, and roughness. The main component representative variables of the cooling sensation regression equation are volumetric heat capacity and thickness, and other variables can be explained by these two variables. Changing them is the key to enhance the cooling sensation. The predicted value of coolness is in good agreement with the subjective evaluation of cooling sensation, which has a certain guiding effect on the actual human cool feeling. The purpose of this study is to find out the main factors that affect the cool feeling, and then apply the established cool feeling model to the development of fabrics in summer, so as to meet the thermal comfort requirements of human body’s fabrics.