期刊
TEXTILE RESEARCH JOURNAL
卷 -, 期 -, 页码 -出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/00405175221106227
关键词
Predicted heat strain model; human thermal physiological response; clothing wet thermal insulation; clothing dynamic thermal insulation; convective heat transfer coefficient; core temperature
资金
- Fundamental Research Funds for the Central Universities [2232022 G-08]
- International Cooperation Fund of Science and Technology Commission of Shanghai Municipality [21130750100]
In this study, realistic clothing models were developed to improve the accuracy of the predicted heat strain model, especially under high thermal insulation clothing ensembles and high-temperature conditions. The results showed that the modified predicted heat strain model combined with realistic clothing parameters could more accurately predict core temperature under specific conditions.
For guiding the setting of working time, it is necessary to develop a realistic clothing model with accurate thermal physical properties including the effects of human body activities and environments in the predicted heat strain model, especially for the high thermal insulation clothing ensembles and high-temperature conditions. In this study, realistic clothing models, including clothing wet thermal insulation (I-cl_w), dynamic thermal insulation (I-cl_vw), and convective heat transfer coefficient considering the temperature difference and walking speed (h(c_vw)), were established. Then, we validated the modified predicted heat strain models combined with realistic clothing parameters. The results revealed that the core temperature of the predicted heat strain model combined with I-cl_w, I-cl_vw, and h(c_vw) (deviation of 0.1 degrees C) was significantly more accurate than the original predicted heat strain model (variation of 1.5 degrees C) in the environment of 40 degrees C within 65 min of heat exposure. Our study emphasizes the necessity of ensuring the accuracy of clothing thermal physical properties in the predicted heat strain model to improve validity for the specific conditions investigated.
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