The Open UniversitySkip to content
 

Multiple collisions in turbulent flows

Voßkuhle, Michel; Lévêque, Emmanuel; Wilkinson, Michael and Pumir, Alain (2013). Multiple collisions in turbulent flows. Physical Review E, 88(6), article no. 063008.

DOI (Digital Object Identifier) Link: https://doi.org/10.1103/PhysRevE.88.063008
Google Scholar: Look up in Google Scholar

Abstract

In turbulent suspensions, collision rates determine how rapidly particles coalesce or react with each other. To determine the collision rate, many numerical studies rely on the ghost collision approximation (GCA), which simply records how often pairs of point particles come within a threshold distance. In many applications, the suspended particles stick (or in the case of liquid droplets, coalesce) upon collision, and it is the frequency of first contact which is of interest. If a pair of “ghost” particles undergoes multiple collisions, the GCA may overestimate the true collision rate. Here, using fully resolved direct numerical simulations of turbulent flows at moderate Reynolds number (Reλ = 130), we investigate the prevalence and properties of multiple collisions. We find the probability P(Nc) for a given pair of ghost particles to collide Nc times to be of the form P(Nc) = βαNc for Nc > 1, where α and β are coefficients which depend upon the particle inertia. We also investigate the statistics of the times that ghost particles remain in contact. We show that the probability density function of the contact time is different for the first collision. The difference is explained by the effect of caustics in the phase space of the suspended articles. We demonstrate that, as a result of multiple collisions, the GCA leads to a small, but systematic overestimate of the collision rate, which is of the order of ∼15% when the particle inertia is small, and slowly decreases when inertia increases.

Item Type: Journal Item
Copyright Holders: 2013 American Physical Society
ISSN: 1550-2376
Extra Information: 12 pp.
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 41298
Depositing User: Michael Wilkinson
Date Deposited: 13 Nov 2014 09:51
Last Modified: 07 Dec 2018 10:26
URI: http://oro.open.ac.uk/id/eprint/41298
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU