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Development of physiological human model considering mist wettedness for mist-spraying environments

机译:考虑薄雾喷涂环境薄雾湿润的生理人体模型的发展

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The thermal state of the human body is closely related to thermal sensations and thermal comfort and can be estimated using a physiological human model. However, the feasibility of its prediction models in a mist-spraying environment has not been examined. The present study confirmed the applicability of existing prediction models (two-node model (2NM) and three-node model (3NM)) in outdoor and mist-spraying environments. Additionally, the evaporative heat loss caused by mist wetting in the human body (mist wettedness)-which has been overlooked-was measured using a heating globe thermometer controlled at the skin-temperature level, and on the basis of the results, the existing prediction models were modified. In the outdoor environment, the existing and modified models predicted the skin temperature identically, with errors of 0.30 degrees C (2NM) and 0.24 degrees C (3NM), for 10 min. In the mist-spraying environment, the skin-temperature results for the existing models stabilized and did not reflect the continuously decreasing experimental results, but the modified models reflected the continuously decreasing tendency of the experimental skin-temperature results, with errors of 0.52 degrees C (2NM) and 0.56 degrees C (3NM). When the effective area factor (eta(mist) = 0.5) of the mist droplets was applied to the modified prediction models, the mist wettedness contributions to the total heat loss from the body surface were 40.4% (2NM) and 37.9% (3NM). Therefore, the mist wettedness was identified as a significant environmental factor affecting the heat loss on the human body, and these models can provide better understandings of the physical phenomena in mist-spraying environments.
机译:人体的热状态与热敏感觉和热舒适性密切相关,可以使用生理人体模型估计。然而,尚未检查其预测模型在雾气喷涂环境中的可行性。本研究证实了现有预测模型(两节点模型(2nm)和三节点模型(3nm))在室外和雾喷雾环境中的适用性。另外,使用在皮肤温度水平控制的加热全球体温计进行测量,通过在皮肤温度水平控制的加热综合体温度计来测量由雾气润湿引起的雾化热损失 - 在结果,在结果的基础上进行了忽略了 - 在现有预测模型被修改。在室外环境中,现有和改进的模型相同地预测皮肤温度,误差为0.30℃(2nm)和0.24℃(3nm),10分钟。在雾气喷涂环境中,皮肤温度结果为现有型号稳定,并未反映实验结果的持续降低,但改性模型反映了实验性皮肤温度结果的持续趋势,误差为0.52℃ (2nm)和0.56℃(3nm)。当将雾液滴的有效面积因子(ETA(雾)= 0.5)应用于改进的预测模型时,薄雾湿润对来自体表的总热量损失的贡献为40.4%(2nm)和37.9%(3nm) 。因此,雾化湿度被鉴定为影响人体热量损失的重要环境因素,这些模型可以更好地了解雾喷涂环境中的物理现象。

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