Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3782
Title: Understanding droplet collisions through a model flow: Insights from a Burgers vortex
Authors: AGASTHYA, LOKAHITH
Picardo, Jason R.
Ravichandran, S.
Govindarajan, Rama
Ray, Samriddhi Sankar
Dept. of Physics
Keywords: Heavy-Particles
Preferential Concentration
3-Dimensional Euler
Rain Initiation
Turbulence
Vorticity
Statistics
Dependence
Filaments
Velocity
TOC-JUL-2019
2019
Issue Date: Jun-2019
Publisher: American Physical Society
Citation: Physical Review E, 99(6).
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.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3782
https://doi.org/10.1103/PhysRevE.99.063107
ISSN: 2470-0045
2470-0053
Appears in Collections:JOURNAL ARTICLES

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