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基于空调正弦送风的清除客舱引气污染物方法

林家泉 李波 邱岳恒

林家泉,李波,邱岳恒. 基于空调正弦送风的清除客舱引气污染物方法[J]. 北京航空航天大学学报,2023,49(5):1009-1016 doi: 10.13700/j.bh.1001-5965.2021.0422
引用本文: 林家泉,李波,邱岳恒. 基于空调正弦送风的清除客舱引气污染物方法[J]. 北京航空航天大学学报,2023,49(5):1009-1016 doi: 10.13700/j.bh.1001-5965.2021.0422
LIN J Q,LI B,QIU Y H. Removal cabin bleeding air system gaseous pollutants method based on air conditioning sinusoidal wind[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(5):1009-1016 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0422
Citation: LIN J Q,LI B,QIU Y H. Removal cabin bleeding air system gaseous pollutants method based on air conditioning sinusoidal wind[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(5):1009-1016 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0422

基于空调正弦送风的清除客舱引气污染物方法

doi: 10.13700/j.bh.1001-5965.2021.0422
基金项目: 工业和信息化部民机专项(2020020306)
详细信息
    通讯作者:

    E-mail: yhqiu@cauc.edu.cn

  • 中图分类号: V245.3

Removal cabin bleeding air system gaseous pollutants method based on air conditioning sinusoidal wind

Funds: Special Program for Civil Airplane of the Ministry of Industry and Information Technology,China (2020020306)
More Information
  • 摘要:

    客机从廊桥推出排队等待起飞期间,机坪大量的气态污染物会从发动机引气系统直接进入客舱,目前客舱空调采用的是恒值风速送风,引气污染物的清除效率不高。基于此,建立了Boeing737客舱仿真模型,通过粒子图像测速(PIV)实验验证了客舱仿真模型的准确性。选取NO2为引气污染物,空调采用正弦信号送风替代恒值信号送风,模拟了天花板送风、侧壁送风和混合送风3种送风模式,获得了恒值信号送风和正弦信号送风情况下乘客呼吸区和客舱整体的NO2分布特征,提出将空气龄和吹风感指数(DR)相结合的方法,评估出有利于引气污染物排出的空调最佳送风工况。结果表明:在180 s时,相比恒值信号送风,空调采用正弦信号送风后,在天花板送风模式下,客舱内的NO2平均质量浓度降低了7.95%,侧壁送风模式下降低了6.51%,混合送风模式下降低了23.3%。正弦信号送风下混合送风模式NO2清除效果最好,空气龄最小,且乘客的吹风感指数也符合热舒适性要求。

     

  • 图 1  客舱实验平台

    Figure 1.  Cabin experiment platform

    图 2  Boeing737客舱仿真模型

    Figure 2.  Boeing737 cabin simulation model

    图 3  PIV实验和仿真结果

    Figure 3.  PIV experiment and simulation results

    图 4  网格独立性分析

    Figure 4.  Grid independence analysis

    图 5  天花板送风模式下的流场(恒值信号)

    Figure 5.  Flow field of ceiling air supply mode (constant value signal)

    图 6  侧壁送风模式下的流场(恒值信号)

    Figure 6.  Flow field of side wall air supply mode (constant value signal)

    图 7  混合送风模式下的流场(恒值信号)

    Figure 7.  Flow field of mixed air supply mode (constant value signal)

    图 8  天花板送风模式下的流场(正弦信号)

    Figure 8.  Flow field of ceiling air supply mode (sinusoidal signal)

    图 9  侧壁送风模式下的流场(正弦信号)

    Figure 9.  Flow field of sidewall air supply mode (sinusoidal signal)

    图 10  混合送风模式下的流场(正弦信号)

    Figure 10.  Flow field of mixed air supply mode (sinusoidal signal)

    图 11  客舱内部NO2质量浓度

    Figure 11.  Concentration of NO2 in cabin

    图 12  t=180 s时恒值信号下呼吸区截面NO2分布

    Figure 12.  Distribution of NO2 in respiratory area under constant signal at t=180 s

    图 13  t=180 s时正弦信号下呼吸区截面NO2分布

    Figure 13.  Distribution of NO2 in respiratory area under sinusoidal signal at t=180 s

    图 14  不同送风工况下的空气龄

    Figure 14.  Air age of different air supply modes

    图 15  乘客周围截面吹风感指数

    Figure 15.  DR of cross section around passengers

    表  1  送风速度

    Table  1.   Air supply speed m/s

    送风模式恒值信号送风
    速度
    正弦信号送风
    速度
    天花板送风3.9$3.9+3.9 {\rm{sin} }\left(\dfrac{2{\text{π} } }{60}t\right)$
    侧壁送风3.6$3.6+3.6{\rm{sin} }\left(\dfrac{2{\text{π} } }{60}t\right)$
    混合
    送风
    天花板送风2.5$2.5+2.5 {\rm{sin} }\left(\dfrac{2{\text{π} } }{60}t\right)$
    侧壁送风1.3$1.3+1.3 {\rm{sin} }\left(\dfrac{2{\text{π} } }{60}t\right)$
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-07-26
  • 录用日期:  2021-09-17
  • 网络出版日期:  2021-09-29
  • 整期出版日期:  2023-05-31

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