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Experimental and numerical study of space station airflow distribution under microgravity condition

机译：微重力条件下空间站气流分布的实验与数值研究

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A space station that operates under microgravity conditions is a closed environment where a reasonable airflow distribution is required to eliminate body heat dissipation, remove contaminants and thus keep the crew comfortable. However, design of a reasonable airflow distribution has remained challenging. In this study, a computational fluid dynamics (CFD) methods with various turbulence models were used to investigate the airflow distribution inside a space station under microgravity conditions. To compare the performance of different models, the shrinkable ratio method was used to set up a mockup station to eliminate the influence of gravity induced natural convection. The air velocity distribution in the narrow scale model was measured using particle image velocimetry (PIV). Results showed that the performance of the standard k-epsilon turbulence model was better than the renormalized group (RNG) k-epsilon turbulence model. The air distribution was optimized by changing the angle of the air supply outlet, suggesting that a three-dimensional air supply can provide better thermal comfort and higher air quality.
机译：在微重力条件下运行的空间站是封闭的环境，需要合理的气流分配以消除机体散热，清除污染物并因此使机组人员保持舒适。然而，设计合理的气流分布仍然具有挑战性。在这项研究中，使用具有各种湍流模型的计算流体动力学（CFD）方法来研究微重力条件下空间站内的气流分布。为了比较不同模型的性能，使用收缩率法建立了一个模型站，以消除重力引起的自然对流的影响。窄比例模型中的空气速度分布是使用粒子图像测速仪（PIV）测量的。结果表明，标准k-ε湍流模型的性能优于重归一化组（RNG）k-ε湍流模型。通过改变空气供应出口的角度优化了空气分配，这表明三维空气供应可以提供更好的热舒适性和更高的空气质量。

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