Qian Xiaoming, Fan Jintu
Institute of Textiles and Clothing, The Hong Kong Polytechnic University Hung Hom, Kowloon, Hong Kong.
Ann Occup Hyg. 2006 Nov;50(8):833-42. doi: 10.1093/annhyg/mel050. Epub 2006 Jul 20.
Clothing thermal insulation and moisture vapour resistance are the two most important parameters in thermal environmental engineering, functional clothing design and end use of clothing ensembles. In this study, clothing thermal insulation and moisture vapour resistance of various types of clothing ensembles were measured using the walking-able sweating manikin, Walter, under various environmental conditions and walking speeds. Based on an extensive experimental investigation and an improved understanding of the effects of body activities and environmental conditions, a simple but effective direct regression model has been established, for predicting the clothing thermal insulation and moisture vapour resistance under wind and walking motion, from those when the manikin was standing in still air. The model has been validated by using experimental data reported in the previous literature. It has shown that the new models have advantages and provide very accurate prediction.
服装隔热性和透湿性是热环境工程、功能性服装设计以及服装套装最终使用中两个最重要的参数。在本研究中,使用可行走的出汗人体模型沃尔特,在各种环境条件和行走速度下,测量了各类服装套装的服装隔热性和透湿性。基于广泛的实验研究以及对身体活动和环境条件影响的深入理解,建立了一个简单但有效的直接回归模型,用于根据人体模型静止在静止空气中时的服装隔热性和透湿性,预测有风及行走运动时的服装隔热性和透湿性。该模型已通过使用先前文献中报道的实验数据进行了验证。结果表明,新模型具有优势且能提供非常准确的预测。