The predicted heat strain model considering wet and dynamic thermal insulation for thermal protective clothing: Modification and validation analysis

Author:

Zhang Wenhuan1ORCID,Huang Qianqian1ORCID,Wang Yunyi12,Li Jun12ORCID

Affiliation:

1. College of Fashion and Design, Donghua University, China

2. Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, China

Abstract

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 ( Icl_w), dynamic thermal insulation ( Icl_vw), and convective heat transfer coefficient considering the temperature difference and walking speed ( hc_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 Icl_w, Icl_vw, and hc_vw (deviation of 0.1°C) was significantly more accurate than the original predicted heat strain model (variation of 1.5°C) in the environment of 40°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.

Funder

Fundamental Research Funds for the Central Universities

International Cooperation Fund of Science and Technology Commission of Shanghai Municipality

Publisher

SAGE Publications

Subject

Polymers and Plastics,Chemical Engineering (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3