@inproceedings{095d7d11c4ba44a9a4591cf052ebdd0a,
title = "Using CFD Technology to Simulate a Model of Human Thermoregulation in the Stable Temperature Environment",
abstract = "A coupling system was developed in the present study to simulate the heat transfer and physiological responses of the unclothed human body in hot and cold environments. This system included a computational thermal manikin controlled by a multi-node thermal model, which could dynamically respond to the environmental conditions. The computational thermal manikin was employed to determine the heat transfer between the human body and ambient environment as well as heat transfer coefficients at each body segment. The CFD simulation was then coupled with a multi-node thermal model to predict the heat transfer and human physiological responses in real time. The performance of coupling system was examined by comparing the simulated skin temperatures with the published measurements from human trials in hot and cold environments. The coupling system reasonably predicted the skin temperatures at local body segments with the maximum discrepancies between the observed values and simulated ones no more than 1.0 °C.",
keywords = "CFD simulation, Environment conditions, Heat transfer, Response",
author = "Sina Dang and Hongjun Xue and Xiaoyan Zhang and Jue Qu and Chengwen Zhong and Siyu Chen",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 21st International Conference on Human-Computer Interaction, HCII 2019 ; Conference date: 26-07-2019 Through 31-07-2019",
year = "2019",
doi = "10.1007/978-3-030-30033-3\_29",
language = "英语",
isbn = "9783030300326",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "369--381",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2019 – Late Breaking Papers - 21st HCI International Conference, HCII 2019, Proceedings",
}