| 基于ADPI和吹风感指数的客舱热舒适性模拟优化 |
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| 引用本文： | 林家泉,吴垌,连美如.基于ADPI和吹风感指数的客舱热舒适性模拟优化[J].液压与气动,2018,0(2):40-45. |
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| 作者姓名： | 林家泉 吴垌 连美如 |
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| 作者单位： | 中国民航大学 电子信息与自动化学院, 天津 300300 |
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| 基金项目： | 国家自然科学基金委中国民航局联合基金(U1433107) |
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| 摘 要： | 为了研究不同送风速度对飞机客舱热舒适性的影响,采用计算流体动力学CFD(Computational Fluid Dynamics)技术建立波音737经济舱的仿真模型,对制冷工况下客舱流场内风速场、温度场进行仿真模拟。选取空气分布特性指标ADPI(Air Diffusion Performance Index)以及吹风感指数DR(Draft Rate)作为评价指标,并在传统指标基础上加入对人员分布密度OD(Occupied Density)的考虑。根据采样点数据,通过数据拟合得到送风速度与ADPIOD、DROD之间的曲线关系,求解得最优送风速度,从而使桥载空调的控制更高效节能。
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| 收稿时间： | 2017-12-24 |
Simulation and Optimization Based on ADPI and Draft Rate for Cabin Thermal Comfort |
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| LIN Jia-quan,WU Tong,LIAN Mei-ru.Simulation and Optimization Based on ADPI and Draft Rate for Cabin Thermal Comfort[J].Chinese Hydraulics & Pneumatics,2018,0(2):40-45. |
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| Authors: | LIN Jia-quan WU Tong LIAN Mei-ru |
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| Affiliation: | College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300 |
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| Abstract: | In order to research the effect of different air supply velocities on aircraft cabin thermal comfort, the simulation model of Boeing 737 economy class is established by the CFD (Computational Fluid Dynamics) technology. On the basis of this model, the air velocity field and temperature field inside the cabin are simulated under cooling conditions. ADPI (Air Distribution Performance Index) and DR (Draft Rate) are selected as the evaluation indexes. In addition, we add OD (Occupied Density) into consideration on the basis of traditional indexes. According to the sampling point data, the curves of relationship between air supply velocity and ADPIOD, DROD are obtained through data fitting. And then the optimal air supply velocity is obtained, so that the bridge air-conditioning control can be more efficient and energy saving. |
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