SAE Technical Paper Series 1991
DOI: 10.4271/911992
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Computational Fluid Dynamics Applications in Airplane Cabin Ventilation System Design

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Cited by 19 publications
(14 citation statements)
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“…For these reasons, in the last ten years, many numerical studies have been published. Aboosaidi et al [8] were among the first to use the CFD to study the air distribution in the cabin of a commercial aircraft without passengers and thermal loads. A similar study was conducted by Mizuno and Warfield [9] who also appraised the concentration of carbon dioxide.…”
Section: Introductionmentioning
confidence: 99%
“…For these reasons, in the last ten years, many numerical studies have been published. Aboosaidi et al [8] were among the first to use the CFD to study the air distribution in the cabin of a commercial aircraft without passengers and thermal loads. A similar study was conducted by Mizuno and Warfield [9] who also appraised the concentration of carbon dioxide.…”
Section: Introductionmentioning
confidence: 99%
“…Aboosaidi et al [2] simulated the airflow patterns in aircraft cabins with empty seats by CFD. They validated their numerical simulations with flow information obtained by hot-wire anemometers, thermocouples, and smoke visualization.…”
Section: Introductionmentioning
confidence: 99%
“…Despite there being some uncertainties in the models, requiring sufficient knowledge of fluid mechanics on the part of a user, and demanding a high capacity computer, CFD has become the most widely used tool for studying air distributions in airliner cabins due to the rapid increase in computer capacity and the development of user-friendly CFD program interfaces. Examples can be found in [9,11,15,19,21,24,25,27,35,37,[44][45][46][47][48][49][50][51][52]. The CFD models used were Reynolds Averaged Navier-Stokes equation (RANS) models and Large Eddy Simulation (LES).…”
Section: Cfd Modelsmentioning
confidence: 99%
“…They used a symmetric boundary condition in the middle of the plane to reduce the computational domain, which contradicted the smoke flow visualization results. Lin et al [45,47] studied airflow and airborne pathogen transport in a section of a twin-aisle aircraft cabin with the RNG k-ε model. The simulation substantially under-predicted the turbulence intensity, especially in and around the breathing zone.…”
Section: Rans Modelsmentioning
confidence: 99%