Masuk Ashik Ullah Mohammad, Salibindla Ashwanth, Tan Shiyong, Ni Rui
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Rev Sci Instrum. 2019 Aug;90(8):085105. doi: 10.1063/1.5093688.
A vertical water tunnel facility has been constructed to study the dynamics of turbulent multiphase flow. The new system features several unique designs that allow us to study bubble deformation and breakup in strong turbulence: (i) The mean flow can be adjusted to balance the rising velocity of buoyant bubbles/droplets so that they can stay in the view area for an extended period of time. (ii) Turbulence is generated and controlled using a 3D-printed jet array that can fire 88 random high-speed momentum jets with the individual jet velocity of up to 12 m/s. This component allows us to attain turbulence with a high energy dissipation rate (≥0.1 m/s), which is orders-of-magnitude higher than most of the existing turbulent multiphase flow facilities. (iii) Turbulence generated in the test section is nearly homogeneous and isotropic, and the turbulent fluctuations are also decoupled from the mean flow. The resulting turbulence intensity can be varied between 20% and 80% with the speed of the mean flow at around 0.2 m/s. (iv) This system has an octagonal test section that allows six cameras to image and reconstruct the 3D shape of deforming bubbles/droplets in turbulence. The same set of cameras was also used for tracking tracers in the surrounding turbulent flow. Both the reconstruction and particle tracking were completed using our in-house codes that were parallelized to run on high-performance computing clusters efficiently.
为了研究湍流多相流的动力学,建造了一个垂直水洞设施。新系统具有几个独特的设计,使我们能够研究强湍流中气泡的变形和破裂:(i)平均流可以调整以平衡浮力气泡/液滴的上升速度,以便它们能够在视区内长时间停留。(ii)使用3D打印射流阵列产生和控制湍流,该阵列可以发射88个随机高速动量射流,单个射流速度高达12 m/s。该组件使我们能够获得具有高能量耗散率(≥0.1 m/s)的湍流,这比大多数现有的湍流多相流设施高出几个数量级。(iii)在试验段产生的湍流几乎是均匀和各向同性的,并且湍流脉动也与平均流解耦。在平均流速度约为0.2 m/s时,产生的湍流强度可以在20%到80%之间变化。(iv)该系统有一个八角形试验段,允许六个摄像头对湍流中变形气泡/液滴的三维形状进行成像和重建。同一组摄像头也用于跟踪周围湍流中的示踪剂。重建和粒子跟踪都是使用我们内部编写的代码完成的,这些代码经过并行处理,可以在高性能计算集群上高效运行。