Abstract
A personalized thermal environment is an effective way to ensure a good thermal sensation for individuals. Since local thermal sensation and temperature distribution are affected by individual physiological differences, it is necessary to study the effects of physiological parameters. The purpose of this study was to investigate the effects of internal structures and tissue composition on head temperature distribution and thermal sensation. A new mathematical model based on fuzzy logic control was established, the internal structure and tissue composition of the head were obtained by magnetic resonance imaging (MRI), and the local thermal sensation (LTS) index was used to evaluate the thermal sensation. Based on the mathematical model and the real physiological data, the head temperature and local sensation changes under different parameters were investigated, and the sensitivity of thermal sensation relative to the differences in tissue thickness was analyzed. The results show that skin tissue had the highest influence ( C s k i n = 0.0180 ) on head temperature, followed by muscle tissue ( C m u s c l e = 0.0127 ), and the influence of adipose tissue ( C f a t = 0.0097 ) was the lowest. LTS was most sensitive to skin thickness variation, with an average sensitivity coefficient of 1.58, while the muscle tissue had an average sensitivity coefficient of 0.2, and the sensitivity coefficient of fat was relatively small, at a value of 0.04.
Highlights
The helmet is a basic and necessary protective piece of equipment, which is widely used in aviation, industrial, medical and military fields, etc
The following conclusions were reached: (1) In this work, a mathematical model suitable for calculating head temperature was established, in which the active system was established based on the fuzzy control theory, and the usability of this model was proved by comparing it with public data
(2) The physiological parameters of the head were obtained by magnetic resonance imaging (MRI), and obvious differences were found in the physiological parameters between individuals, which would have certain influence on the simulation of human thermal comfort
Summary
The helmet is a basic and necessary protective piece of equipment, which is widely used in aviation, industrial, medical and military fields, etc. The variety of application, within both indoor and outdoor conditions, results in diverse thermal environments. Production and use of these types of helmets, thermal comfort is one of the important factors that must be considered [1,2,3,4,5,6,7]. Good thermal comfort is a necessary condition for the wearer to work properly. Due to differences in individual physiological attributes [3,5,7,8,9], the thermal sensation for the wearer from the equipment varies from person to person [10,11,12,13,14,15]. To ensure the thermal comfort of each individual, the thermal environment of the equipment needs to be personalized
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