Mathematical Modeling, Prediction and Research on Heat and Moisture Transfer of a Kind of Textile Materials

Abstract

The structure, layers, and mix of a particular type of textile material affects how warm and permeable to moisture a piece of clothing is. The microclimate region between the human body and clothes also has an impact on it. Designing warm clothing and choosing materials can be guided by the inverse problem of the heat and moisture transfer model and its parameter determination in winter clothing. This paper investigates the mathematical modeling of heat and moisture transfer of a class of textile materials based on PSO (abbreviation: PSO). Under the two categories of temperature and humidity combinations mentioned above, the three materials exhibit extreme values and are one of a kind. The disturbance function of polypropylene fiber material at 5% is 10, the disturbance function of polyester material at 5% is 8, and the disturbance function of wool material at 5% is 18 when the fabric thickness reaches 0.012. PSO was used in this experiment to calculate the thickness inversion results for fabrics made of polypropylene, polyester, and wool. The results are consistent with those in the figure. In order to solve the inverse problem of functional design, it is necessary to mathematically study the transfer of heat and moisture through textile materials.