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通过模型流理解液滴碰撞:伯格斯涡旋的见解

Understanding droplet collisions through a model flow: Insights from a Burgers vortex.

作者信息

Agasthya Lokahith, Picardo Jason R, Ravichandran S, Govindarajan Rama, Ray Samriddhi Sankar

机构信息

Indian Institute for Science Education and Research, Pune, 411008, India.

International Centre for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.

出版信息

Phys Rev E. 2019 Jun;99(6-1):063107. doi: 10.1103/PhysRevE.99.063107.

Abstract

We investigate the role of intense vortical structures, similar to those in a turbulent flow, in enhancing collisions (and coalescences) which lead to the formation of large aggregates in particle-laden flows. By using a Burgers vortex model, we show, in particular, that vortex stretching significantly enhances sharp inhomogeneities in spatial particle densities, related to the rapid ejection of particles from intense vortices. Furthermore our work shows how such spatial clustering leads to an enhancement of collision rates and extreme statistics of collisional velocities. We also study the role of polydisperse suspensions in this enhancement. Our work uncovers an important principle, which, if valid for realistic turbulent flows, may be a factor in how small nuclei water droplets in warm clouds can aggregate to sizes large enough to trigger rain.

摘要

我们研究了类似于湍流中强烈涡旋结构在增强碰撞(和聚并)方面的作用,这种碰撞会导致含颗粒流中形成大聚集体。通过使用伯格斯涡模型,我们特别表明,涡旋拉伸显著增强了空间颗粒密度的急剧不均匀性,这与颗粒从强烈涡旋中的快速喷射有关。此外,我们的工作还展示了这种空间聚集如何导致碰撞率的提高以及碰撞速度的极端统计。我们还研究了多分散悬浮液在这种增强作用中的作用。我们的工作揭示了一个重要原理,如果该原理适用于实际湍流,可能是暖云中的小核水滴如何聚集成足够大的尺寸以引发降雨的一个因素。

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