Numerical Simulation on Air Quality in the Boeing 737 Aircraft Cabin

doi:10.16182/j.issn1004731x.joss.201805045

Abstract

Abstract: The air quality in the cabin will directly affect the persons’ efficiency when an aircraft berths. In order to analyze the effect of velocity of air outlet of bridge-load air conditioning on the air quality of aircraft cabin, the first class cabin of Boeing 737 aircraft is used as the research object, based on the CFD method and numerical heat transfer theory, the air quality in aircraft cabin is simulated numerically. Based on P_MV and CO₂ relative concentration, a new air quality index (I_AO) is put forward to evaluate the air quality of aircraft cabin, and then it make the new index (I_AO) as function of the velocity of air supple outlet through the Gaussian fitting curve method. The results show that supply air velocity has great effects on air quality of aircraft cabin no matter it is oversize or undersize. When the supply air velocity is about 0.82m/s, the air quality of aircraft cabin is the best. The reliability and effectiveness is proved by goodness-of-fit tests and actual investigate, so the speed can provide the basis for bridge-load air conditioning control.

Key words: aircraft cabin, CFD method, curve fitting, air quality, goodness-of-fit tests

CLC Number:

TP271+.72

Wang Xiuyan, Zhang Gewen, Liu Yanmin, Li Zongshuai, Lin Jiaquan. Numerical Simulation on Air Quality in the Boeing 737 Aircraft Cabin[J]. Journal of System Simulation, 2018, 30(5): 1974-1979.

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