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大型客机座舱混合送风形式的数值模拟 被引量:16

Numerical study of mixing ventilation systems in commercial aircraft cabin
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摘要 提出了一种新的四风口混合送风形式,并采用计算流体力学(CFD)对其送风效果进行评估。首先利用真实MD-82飞机实验平台的气流实验数据对所采用的非定常RNG k-ε模型进行了验证;然后针对某机型座舱的热天地面工况,用上述验证后的CFD模型分别对这种新的四风口送风形式及现行的两风口、三风口混合送风形式进行了数值仿真;最后对这三种送风形式营造的客舱环境从速度、温度、局部热舒适度等角度进行了分析比较。结果表明:非定常RNG k-ε模型能够准确合理地预测客机座舱内的空气流动;两风口送风形式在乘客周围形成较大风速,脚部吹风感达15%;三风口送风形式下走廊风速达到0.5m/s,会引起工作人员的热不舒适;而新的四风口送风形式在乘客周围大部分区域的风速低于0.1 m/s,垂直温差引起的不满意率(PD)平均值约为0.5%,吹风感引起的不满意率(DR)在身体周围大部分区域低于5%,其舒适度是三种送风形式中最优的,适合在客机上使用。 Air distribution in aircraft cabin is one of the key problems of the aircraft design and it is very important to create a comfortable and healthy cabin environment for passengers and crew and for its market competitiveness.A new four-inlet air supply system is proposed and Computational Fluid Dynamics(CFD) is used to evaluate its performance.The cabin on ground hot day is simulated.Firstly,the CFD program(unsteady RNG k-ε model) is validated against the experimental data of airflow from MD-82.Then the validated CFD program is used to investigate the air distributions of the new air supply system and the 2-inlet,3-inlet systems currently used in Boeing airplanes.Finally,the velocity and temperature in the cabin and the local thermal comfort are analyzed and compared.The results show that the unsteady RNG k-ε model can predict airflow in airplane with accuracy and rationality.Velocity around passengers is highest with the 2-inlet system while velocity at the aisle is 0.5m/s with 3-inlet system which would cause crew’s discomfort.The new four-inlet system creates velocity low to 0.1m/s around passengers and DR is also lower to 5% in large area.Therefore,it is the best mixing ventilation system among the three and recommended to be used in commercial aircraft cabin.
出处 《应用力学学报》 CAS CSCD 北大核心 2013年第3期439-444,480-481,共6页 Chinese Journal of Applied Mechanics
基金 国家973"大型客机座舱内空气环境控制的关键科学问题研究"(2012CB720100)
关键词 计算流体力学 气流组织 垂直温差 吹风感 局部热舒适 CFD air distribution vertical temperature difference draft thermal comfort.
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参考文献15

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