A modified turbulence model for simulating airflow aircraft cabin environment with mixed convection

Zhao, Yijia; Liu, Zhengxian; Li, Xiaojian; Zhao, Ming; Yang, Liu

doi:10.1007/s12273-020-0609-2

Cited by 18 publications

(14 citation statements)

References 30 publications

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“…When analysing an aircraft cabin airflow field simulated in only a single row, the results match the experimental data well. 30,31 Therefore, the computational domain was created for only one row, as shown as Figure 2. Six seated thermal manikins separated by the aisle and two inlets and outlets were set in the computational domain, as illustrated in Figure 2.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of dynamic airflow structures in a single-aisle aircraft cabin mockup based on numerical simulation

Wang

Zhang

Chao

et al. 2021

Indoor and Built Environment

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The airflow distribution characterised by different large- and small-scale eddies in the aircraft cabin is the most important factor to maintain passengers' thermal comfort and to remove contaminants. The airflow distributions in narrow-body aircraft cabins are based on the principle of mixing ventilation. Opposing jets from air diffusers can cause stream deflection and oscillation, which results in the asymmetry of large-scale instantaneous airflow structures. This dynamic airflow structure is very important for analysing time series parameters. Therefore, this study applied numerical simulation to examine the oscillation and asymmetry of instantaneous airflow field structures and phase space reconstruction and used spectrum analysis to evaluate the oscillation amplitude and period of dynamic airflow structure. We also studied the factors that influence the dynamic airflow structure, such as air supply speeds, air supply angles and the strength of the thermal plume. The results showed that as the air supply speed increased, the swing amplitude of the instantaneous airflow structure increased, while the period decreased. The air supply angle affected the jet attachment and collision angle, which in turn affected the swing amplitude and period. The thermal plume restrained the formation of large-scale swings and contributed to the appearance of small-scale structures.

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Section: Methodsmentioning

confidence: 99%

Evaluation of dynamic airflow structures in a single-aisle aircraft cabin mockup based on numerical simulation

Wang

Zhang

Chao

et al. 2021

Indoor and Built Environment

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show abstract

“…RANS modeling is the most economical, but its accuracy is unsatisfactory. To fix the low‐accuracy problem associated with the standard k‐ε model, Zhao et al 43 made ad hoc modifications to the coefficients in the dissipative equation to achieve closer agreement with the experimental data. These modifications were not based on the principle of solid fluid flow,so, the model's performance was case dependent.…”

Section: State‐of‐the‐art In Cabin Air Environment Designmentioning

confidence: 99%

Recent progress on studies of airborne infectious disease transmission, air quality, and thermal comfort in the airliner cabin air environment

et al. 2022

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According to the International Air Transport Association, 1 air transportation was a very popular mode of travel in 2019, as 4.5 billion people flew to various destinations around the world. However, the COVID-19 pandemic placed air travel on hold in 2020, when only 1.8 billion passengers flew, a decrease of 60.2% from the previous year.The worst month was April 2020, when airlines experienced a 94% reduction in passenger capacity worldwide. 2 A study by Boeing 3 showed that the global risk of COVID-19 transmission during air travel was 1 in 1.7 million. However, other studies have reported an attack rate of 9.7% to 62%. 4,5 The flying public has reasonable doubts about the ability of modern airliners to protect them from infection by airborne diseases such as COVID-19. Airborne infectious diseases are not the only source of concern for the flying public. Cabin air quality has become a very popular topic for research. The National Research Council in the United States 6 conducted a comprehensive review of the airliner cabin air

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“…Due to the notable difference of the Reynolds numbers for the two convection processes, the traditional RANS method can hardly simulate the forced/ natural convection flows accurately at the same time. 66 Thermal plume is also the main factor causing unsteady fluctuation in the cabin. 66 Moreover, the seven-row cabin was affected by the cabin sealing conditions, and the experimental measurement also has errors.…”

Section: Application In the Complex Geometric Modelmentioning

confidence: 99%

“…66 Thermal plume is also the main factor causing unsteady fluctuation in the cabin. 66 Moreover, the seven-row cabin was affected by the cabin sealing conditions, and the experimental measurement also has errors. Therefore, the simulation error is larger than the first two cases.…”

Section: Application In the Complex Geometric Modelmentioning

confidence: 99%

A semi-empirical mesh strategy for CFD simulation of indoor airflow

Liu

Long

Liu

2022

Indoor and Built Environment

Self Cite

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Proper meshing is critical for accurate computational fluid dynamics (CFD) simulation. In the three stages of CFD simulation, pre-processing accounts for about 40–60% of the total time. In this study, the performance of the grid for a large number of numerical simulations was analyzed, and base mesh sizes were recommended for different indoor geometric models. The simulation results for temperature, velocity, mesh resolution and computation time were compared, and mesh types were recommended for different models. Considering factors such as wall function, wall y+, face quality of the mesh, grid volume change rate and prism layer setting, a semi-empirical mesh strategy was presented. This strategy was verified in three cases with different geometric complexity. The verification results showed that the mesh strategy can yield reasonable simulation results. The root-mean-square error of the velocity simulation results of the optimized grid can be reduced by nearly 20%. This strategy can save nearly 50% of the mesh adjustment time. Through analysis and fitting of the grid results, the evaluation criteria for this mesh strategy were obtained. The criteria can be used to evaluate the cases using this mesh strategy.

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A modified turbulence model for simulating airflow aircraft cabin environment with mixed convection

Cited by 18 publications

References 30 publications

Evaluation of dynamic airflow structures in a single-aisle aircraft cabin mockup based on numerical simulation

Evaluation of dynamic airflow structures in a single-aisle aircraft cabin mockup based on numerical simulation

Recent progress on studies of airborne infectious disease transmission, air quality, and thermal comfort in the airliner cabin air environment

A semi-empirical mesh strategy for CFD simulation of indoor airflow

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