A new model for evaluating dynamic clothing thermal comfort

Clothing plays a key role in heat dissipation from the human body. Accurate clothing thermal resistance serves as a crucial reference during the design process, significantly enhancing thermal comfort. Most clothing thermal resistance models in the literature rely on experimental data from thermal manikins. However, most thermal manikins have fixed dimensions, and some are primarily static, failing to account for factors such as body shape and fabric performance, which are essential for designers. Therefore, this study developed a model for dynamic clothing thermal resistance based on clothing computer-aided design (CAD) software. In the CAD software, human body size, fabric type, and clothing style can be customized. The model calculated dynamic clothing thermal resistance by quantifying the volume change of the enclosed air layer. Experimental data were used to validate the model's accuracy for six ensembles at five walking speeds and three wind speeds. The results show that the model can predict the thermal resistance of clothing, with most relative errors less than 16 %. This model considers the impact of clothing style, size, and permeability on thermal resistance, providing designers with comprehensive theoretical guidance.