Global airflow field distribution in a cabin mock-up measured via large-scale 2D-PIV

Li, Jiayu; Cao, Xiaodong; Liu, Junjie; Wang, Congcong; Zhang, Yongzhi

doi:10.1016/j.buildenv.2015.06.030

Cited by 58 publications

(55 citation statements)

References 33 publications

(37 reference statements)

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“…The body geometry is obtained by scanning a thermal manikin, which neglects the clothes and hair. The distance from the head top to the ceiling is 24 cm, which is obtained by the model measurement of an airplane cabin with manikin directly, and is consistent with the size of related researches (Li et al 2015;Zhang et al 2009). It can be considered that this distance represents a typical environment condition of body thermal plume in cabin.…”

Section: Calculation Domain and Boundary Conditionsmentioning

confidence: 98%

Numerical investigation of the unsteady flow characteristics of human body thermal plume

et al. 2016

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Human thermal plume is quite important to the study of airflow organization in the indoor environment, especially in the micro-environment research such as personalized ventilation, infectious disease transmission through air, etc. In order to investigate the unsteady fluctuation of the thermal plume around human body, a series of transient numerical simulations are conducted in this study. Numerical simulation based on 9.7 million grids and 0.02 s time step is performed to obtain the detail quantitative data of flow field. The obvious fluctuation and separation are captured in the upper flow region of human body based on the high resolution grids. The maximum time-averaged velocity of the thermal plume is found to be 0.25 m/s while the maximum fluctuate velocity is about 0.07 m/s. The further analysis of frequency spectrum shows that the thermal plume around the body is mainly dominated by the low frequency fluctuation which is lower than 1 Hz and the principal frequency is around 0.1 Hz. In order to overcome the drawback of the high computation cost for application of the engineering simulation, a new numerical simulation method combining a modified k-ε turbulence model and coarse grids is presented. This modified k-ε model can reduce the calculation error of Reynolds stress in the flow region of natural convection through redefining the turbulence viscosity coefficient segmentally and avoid a high numerical viscosity appeared due to the central difference scheme. It can reasonably predict the general fluctuation velocity and the frequency distribution during simulation process in coarse grids and show a huge potential to be applied to the engineering application.

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Section: Calculation Domain and Boundary Conditionsmentioning

confidence: 98%

Numerical investigation of the unsteady flow characteristics of human body thermal plume

et al. 2016

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“…DEHS droplets are very promising particles for PIV measurements for their good tracking ability and high stability [16]. Moreover, compared with the theatrical fog machines used in previous studies [16,26], although the Laskin aerosol generator with a high generation rate to maintain the seeding concentration in the cabin is expensive, its generation rate is controllable and continuous, which are necessary for acquiring accurate instantaneous velocity fields for a long time series.…”

Section: Piv Measurement Setupmentioning

confidence: 99%

“…Under cooling conditions, the air supply temperature remained at 19.0 • C (±0.5 • C), and the averaged air temperature in the cabin was increased to 22.7 • C due to the heated manikins, and the detailed thermal boundary condition could be found in Ref. [26]. Between two operational conditions, there were at least 90 min to ensure the stable condition was reached.…”

Section: Aircraft Cabin Mock-upmentioning

confidence: 99%

“…Air was supplied from the lateral diffusers into the cabin with relatively symmetrical boundary conditions with a velocity of approximately 1.8 m/s and a total air volumetric flow of 1420 ± 60 m 3 /h, corresponding to 9.4 L/(s·person) [27]. The detailed air supply boundary condition can be found in a previous study [26]. A series of experiments was conducted under both isothermal and cooling conditions, and Table 1 lists the operating temperatures for the two sets of conditions investigated in this research.…”

Section: Aircraft Cabin Mock-upmentioning

confidence: 99%

“…This paper is part of a series of studies with the intent of quantitatively evaluating the performance of various cabin air distribution systems. In our previous studies, a high-power 2D-PIV system for obtaining the large-scale air distribution in a cabin was built [16], and a high-spatial-resolution global airflow field was measured and analyzed [26]. However, experimental studies of the transient global air distribution in the cabin environment are still lacking.…”

Section: Introductionmentioning

confidence: 99%

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Global airflow field distribution in a cabin mock-up measured via large-scale 2D-PIV

Cited by 58 publications

References 33 publications

Numerical investigation of the unsteady flow characteristics of human body thermal plume

Numerical investigation of the unsteady flow characteristics of human body thermal plume

Experimental study of transient air distribution of a jet collision region in an aircraft cabin mock-up

Visualization and Measurement of Indoor Airflow by Color Sequence Enhanced Particle Streak Velocimetry

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