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Published on: May 2, 2016
Phase change cooling garment for thermal stress reduction: experimental evaluation and predictive modeling
Shengwei Wang1, Tian Liu1, Xiaohong Gui1
1School of Emergency Management & Safety Engineering, China University of Mining and Technology (Beijing), Beijing, China.
This novel phase change cooling garment (PCCG) effectively reduces heat stress for workers in hot environments. It significantly lowers body temperature and improves thermal comfort, offering substantial physiological benefits.
Area of Science:
- Occupational Health
- Thermal Physiology
- Wearable Technology
Background:
- Live-line workers face significant heat stress in hot-humid environments, impacting their health and safety.
- Existing cooling solutions may not provide sufficient duration or effectiveness for demanding occupational tasks.
- Alleviating heat stress is crucial for maintaining worker performance and preventing heat-related illnesses.
Purpose of the Study:
- To experimentally evaluate a novel phase change cooling garment (PCCG) for its efficacy in mitigating heat stress.
- To assess the physiological and perceptual responses of participants wearing the PCCG under controlled heat conditions.
- To develop and validate a machine learning model for predicting thermal comfort in relation to the PCCG.
Main Methods:
- Controlled laboratory study in a climate chamber (38°C, 75% RH) with 15 participants.
- Participants engaged in treadmill walking at 5 km/h while wearing the PCCG.
- Measurements included skin temperature, core temperature, sweat volume, and subjective thermal comfort/sensation votes.
- A machine learning model (BP-RFE-SVM-PSO) was developed to predict thermal comfort.
Main Results:
- The PCCG provided cooling for up to 116 minutes, significantly reducing mean skin temperature (by 2.6°C) and core temperature (by 0.7°C).
- Sweat volume decreased from 0.83 kg to 0.55 kg, and the heat stress index improved from severe to mild.
- Subjective thermal comfort and sensation improved significantly without cold discomfort.
- The machine learning model achieved 95.6% accuracy in predicting thermal comfort.
Conclusions:
- The novel phase change cooling garment (PCCG) is effective in alleviating heat stress for workers in hot-humid environments.
- The PCCG offers significant physiological benefits, including reduced body temperature and sweat loss, alongside improved thermal comfort.
- The findings support the use of PCCG as a viable solution for enhancing worker safety and well-being in high-temperature occupational settings.
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