Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66083
Title: Integrating a human thermoregulatory model with a clothing model to predict core and skin temperatures
Authors: Yang, J
Weng, W
Wang, F
Song, G
Keywords: Clothing model
Core temperature
Human physiological responses
Human thermoregulatory model
Skin temperature
Issue Date: 2017
Publisher: Pergamon Press
Source: Applied ergonomics, 2017, v. 61, p. 168-177 How to cite?
Journal: Applied ergonomics 
Abstract: This paper aims to integrate a human thermoregulatory model with a clothing model to predict core and skin temperatures. The human thermoregulatory model, consisting of an active system and a passive system, was used to determine the thermoregulation and heat exchanges within the body. The clothing model simulated heat and moisture transfer from the human skin to the environment through the microenvironment and fabric. In this clothing model, the air gap between skin and clothing, as well as clothing properties such as thickness, thermal conductivity, density, porosity, and tortuosity were taken into consideration. The simulated core and mean skin temperatures were compared to the published experimental results of subject tests at three levels of ambient temperatures of 20 °C, 30 °C, and 40 °C. Although lower signal-to-noise-ratio was observed, the developed model demonstrated positive performance at predicting core temperatures with a maximum difference between the simulations and measurements of no more than 0.43 °C. Generally, the current model predicted the mean skin temperatures with reasonable accuracy. It could be applied to predict human physiological responses and assess thermal comfort and heat stress.
URI: http://hdl.handle.net/10397/66083
ISSN: 0003-6870
EISSN: 1872-9126
DOI: 10.1016/j.apergo.2017.01.014
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