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Prediction of Brownout Inception Beneath a Full-Scale Helicopter Downwash

机译:大规模直升机降落下的掉电开始预测

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摘要

Dust entrained by low flying helicopters leads to the degraded visual environment, brownout. Particle inception is a critical stage in the development of the dust cloud. Here, near-wall Lagrangian particle forces are considered through analyzing an approximate time-averaged full-scale rotor flow.This simplified flow does not attempt to predict brownout, instead it provides scales and velocity data in the near-wall region, compares the role of particle-fluid forces, and provides a foundation for Lagrangian entrainment models.The analysis shows that three characteristic particle sizes are exposed to different physics in different boundary layer zones, a function of the distance from the helicopter. Drag is the dominant aerodynamic force, cohesion is large for small particles, but wall-bounded lift is sufficient to entrainmedium-sized particles. A complementary analytical prediction of tip vortices found that both large-scale inviscid features and small-scale viscous features of the boundary layer are significant.
机译:低空飞行的直升机夹带的灰尘会导致视觉环境变差,掉电。粒子开始是尘埃云发展的关键阶段。在这里,通过分析近似时间平均的满量程转子流来考虑近壁拉格朗日粒子力,这种简化的流并没有试图预测掉电,而是提供了近壁区域的尺度和速度数据,比较了作用分析表明,三种特征粒径在不同的边界层区域内暴露于不同的物理条件下,这是与直升机的距离的函数,这是拉格朗日夹带模型的基础。阻力是主要的空气动力,对于小颗粒,内聚力很大,但壁升力足以夹带中等大小的颗粒。对尖端涡旋的补充分析预测发现,边界层的大尺度无粘性特征和小尺度粘性特征均很重要。

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