论文标题

在灰尘钻机测试中通过空气动力学进行优先隔离的重要性

Importance of preferential segregation by aerodynamics in dust rig tests

论文作者

Miranda, Cairen, Palmore Jr, John

论文摘要

这项工作研究了一种传达灰尘和沙子的设备的设计,以了解颗粒如何从目标板中侵蚀,侵蚀和反弹。这项研究的动机是了解航空气盘发动机中的粉尘摄入和侵蚀。输送系统由恒定面积管组成,其中使用粒子播种机在上游方向注入颗粒。颗粒通过收敛的喷嘴退出管道,并针对目标板。不同尺寸的颗粒以两个不同的气体速度进行测试。 输送导管出口处的粒子速度遵循与直径成反比的趋势。退出后,颗粒根据其直径对流场的变化有所不同。最大的颗粒弹性移动,因此它们以在管道出口处的速度几乎相同的速度影响目标。但是,小颗粒遵循围绕目标的流线。这会使他们显着放慢脚步并在各个方向分散。出口速度和近目标轨迹行为的结合导致粒子撞击速度的非主体传感趋势随粒径的函数。这些效果的重要性在很大程度上取决于输送机管和目标板之间的相对角度。 将LES与RANS进行了比较,并且证明RANS能够准确预测平均粒子影响统计。但是,RANS结果显示出比LES狭窄的统计变异,这表明粒子分散在RANS中的预测不足。

This work studies the design of a device conveying dust and sand in order to understand how the particles impinge, erode and rebound from a target plate. The motivation behind this study is understanding dust ingestion and erosion in aviation gas-turbine engines. The conveying system consists of a constant area duct in which particles are injected in the upstream direction using a particle seeder. The particles exit the duct through a converging nozzle and are directed towards a target plate. Particles of varying sizes are tested at two different gas speeds. The particle velocity at the conveyor duct exit follows a trend inversely proportional to diameter. After exiting, particles respond differently to changes in the flow field based on their diameter. The largest particles move ballistically, so they impact the target with nearly the same velocity they had at the duct exit. However, small particles follow the flow streamlines around the target. This causes them to both significantly slow down and to disperse in all directions. The combination of the exit velocity and the near-target trajectory behaviors leads to a non-monotonic trend of particle impact velocity as a function of particle diameter. The importance of these effects depends strongly on the relative angle between the conveyor duct and the target plate. LES are compared to RANS, and it is demonstrated that RANS are capable of accurately predicting mean particle impact statistics. However, RANS results display narrower statistical variation than LES, which suggests that particle dispersion is underpredicted in RANS.

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