Numerical Simulation Of Airflow Distribution And Thermal Comfort In Passenger Cabin

With the development of the times,people are constantly pursuing faster and more convenient travel patterns.Traveling by plane has become a popular choice when going out.During the journey,airflow distribution,air quality and thermal comfort are important factors affecting passengers' flight experience.As the sustainable development strategy is deeply rooted in the hearts of the people,the energy-saving and emission-reduction in civil aviation industry is imperative.The project of replacing APU with ground power supply aims to reduce fuel consumption,air pollution,noise pollution,and has made a significant contribution to energy saving and emission reduction.Therefore,most airlines and airports currently use bridge air conditioning to adjust cabin temperature during the three stages of pre-flight preparation,operation of aircraft on the ground and post-flight maintenance.However,due to the late start of the domestic civil aviation industry,there is still room for improvement in bridge air conditioning control.In order to improve the resource utilization rate and make the cabin thermal environment more humanized,research on cabin airflow distribution and thermal comfort is particularly important.In order to study the influence of the air supply speed of the bridge air conditioning on the airflow distribution of the aircraft cabin,a 3D simulation model of the Boeing 737 economy cabin with a passenger load factor of 80 % was established based on the principle of window seat using the Computational Fluid Dynamics(CFD)technology.The fluid properties and steady heat transfer in the cabin were analyzed,and then the wind speed field and temperature field in the cabin were simulated under refrigeration conditions.OD(Occupied Density)was taken into account,and ADPI(Air Diffusion Performance Index)and DR(Dissatisfaction Rate caused by wind sensation)were selected as evaluation indicators.The ADPI was modified by the mass weight method to evaluate the local thermal comfort.According to simulation data,curve relationships between supply air speed and modified ADPI and modified DR were obtained by data fitting respectively,and then the comprehensive evaluation function was established by the efficacy coefficient method to obtain the optimal air supply speed,which provides the basis for the efficient control of bridge air conditioning.