Influence of Internal Structure and Composition on Head’s Local Thermal Sensation and Temperature Distribution

作者: Shuai He , Yinghua Zhang , Zhian Huang , Ge Zhang , Yukun Gao

DOI: 10.3390/ATMOS11020218

关键词:

摘要: A personalized thermal environment is an effective way to ensure a good sensation for individuals. Since local and temperature distribution are affected by individual physiological differences, it necessary study the effects of parameters. The purpose this was investigate internal structures tissue composition on head sensation. new mathematical model based fuzzy logic control established, structure were obtained magnetic resonance imaging (MRI), (LTS) index used evaluate Based real data, changes under different parameters investigated, sensitivity relative differences in thickness analyzed. results show that skin had highest influence ( C s k i n = 0.0180 ) temperature, followed muscle m u c l e 0.0127 ), adipose f t 0.0097 lowest. LTS most sensitive variation, with average coefficient 1.58, while 0.2, fat relatively small, at value 0.04.

参考文章(48)
Dusan Fiala, Kevin J. Lomas, Martin Stohrer, A computer model of human thermoregulation for a wide range of environmental conditions: the passive system. Journal of Applied Physiology. ,vol. 87, pp. 1957- 1972 ,(1999) , 10.1152/JAPPL.1999.87.5.1957
Atish Dixit, Upender Gade, A case study on human bio-heat transfer and thermal comfort within CFD Building and Environment. ,vol. 94, pp. 122- 130 ,(2015) , 10.1016/J.BUILDENV.2015.07.016
H. Kubota, K. Kuwabara, Y. Hamada, Prediction of mean skin temperature for use as a heat strain scale by introducing an equation for sweating efficiency. International Journal of Biometeorology. ,vol. 58, pp. 1593- 1603 ,(2014) , 10.1007/S00484-013-0763-7
Ehab Foda, Issa Almesri, Hazim B. Awbi, Kai Sirén, Models of human thermoregulation and the prediction of local and overall thermal sensations Building and Environment. ,vol. 46, pp. 2023- 2032 ,(2011) , 10.1016/J.BUILDENV.2011.04.010
Yu Yang, Runming Yao, Baizhan Li, Hong Liu, Lai Jiang, A method of evaluating the accuracy of human body thermoregulation models Building and Environment. ,vol. 87, pp. 1- 9 ,(2015) , 10.1016/J.BUILDENV.2015.01.013
Pan Dongmei, Chan Mingyin, Deng Shiming, Qu Minglu, A four-node thermoregulation model for predicting the thermal physiological responses of a sleeping person Building and Environment. ,vol. 52, pp. 88- 97 ,(2012) , 10.1016/J.BUILDENV.2011.12.020
Shin-ichi Tanabe, Kozo Kobayashi, Junta Nakano, Yoshiichi Ozeki, Masaaki Konishi, Evaluation of thermal comfort using combined multi-node thermoregulation (65MN) and radiation models and computational fluid dynamics (CFD) Energy and Buildings. ,vol. 34, pp. 637- 646 ,(2002) , 10.1016/S0378-7788(02)00014-2
Ph. Mairiaux, J. Malchaire, V. Candas, Prediction of mean skin temperature in warm environments. European Journal of Applied Physiology. ,vol. 56, pp. 686- 692 ,(1987) , 10.1007/BF00424811
Emilia Irzmańska, Case study of the impact of toecap type on the microclimate in protective footwear International Journal of Industrial Ergonomics. ,vol. 44, pp. 706- 714 ,(2014) , 10.1016/J.ERGON.2014.07.006
Ahmed Lakhssassi, Emmanuel Kengne, Hicham Semmaoui, Modifed pennes' equation modelling bio-heat transfer in living tissues: analytical and numerical analysis Natural Science. ,vol. 02, pp. 1375- 1385 ,(2010) , 10.4236/NS.2010.212168