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Experimental and Numerical Study of Gasper-Induced Airflow in an Aircraft Cabin Mockup

机译:机舱样机中加气机引起的气流的实验和数值研究

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摘要

The air distribution in commercial airliner cabins is crucial for creating a thermally comfortable and healthy cabin environment. Gaspers are prevalently installed as a personalized ventilation system in aircraft cabins in order to improve cabin thermal environment. However, there are few studies investigating the air distribution in a cabin with gaspers on. This study first conducted experimental measurements of gasper-induced airflow field by Particle Image Velocimetry (PIV) in a half of a full-scale, one-row, single-aisle aircraft cabin mockup. This investigation then used the measured data to evaluate the RNG k-s model, which was superior for the main airflow, and the SST k-ω model, which can predict better jet flow. Overall, the results showed that the SST k-ω model was more accurate than the RNG k-ε model for predicting the gasper-induced airflow in an aircraft cabin. However, in the other regions, both the RNG k-ε and SST k-ω models had similar performance. Thus, the SST k-ω model was more suitable model for predicting gasper-induced airflow in aircraft cabins.
机译:商业客舱的空气分配对于创造热舒适和健康的机舱环境至关重要。为了改善机舱的热环境,加气机普遍被安装为飞机机舱中的个性化通风系统。但是,很少有研究调查装有加气机的机舱内的空气分布。这项研究首先通过粒子图像测速(PIV)在全尺寸,单行,单通道飞机机舱模型的一半中进行了加油机诱导的气流场的实验测量。然后,这项研究使用测量的数据评估了RNG k-s模型和SSTk-ω模型,该模型对主要气流更胜一筹,而SSTk-ω模型可以预测更好的射流。总体而言,结果表明,SSTk-ω模型比RNGk-ε模型更准确,可预测机舱中由加油机引起的气流。但是,在其他地区,RNGk-ε和SSTk-ω模型的性能相似。因此,SSTk-ω模型更适合于预测加油机引起的机舱气流。

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