A predictive model for bubble-particle collisions in turbulence
Timothy T. K. Chan (1), Linfeng Jiang (1, 2), Dominik Krug (1, 2) ((1) Physics of Fluids Group, University of Twente, (2) Institute of Aerodynamics, RWTH Aachen University)

TL;DR
This paper develops a predictive model for bubble-particle collision rates in turbulent flows, incorporating finite-size and inertial effects, validated against simulations for industrial flotation processes.
Contribution
It extends previous models by enabling a priori prediction of collision rates considering bubble, particle, and turbulence properties, with validation against detailed simulations.
Findings
Model agrees well with simulations for Froude number ≤ 0.25
Particle inertia and settling significantly affect collision rates
Smaller bubbles, larger particles, and stronger turbulence increase collisions
Abstract
The modelling of bubble-particle collisions is crucial to improving the efficiency of industrial processes such as froth flotation. Although such systems usually have turbulent flows and the bubbles are typically much larger than the particles, there currently exist no predictive models for this case which consistently include finite-size effects in the interaction with the bubbles as well as inertial effects for the particles simultaneously. As a first step, Jiang and Krug (J. Fluid Mech., vol. 1006, 2025, A19) proposed a frozen turbulence approach which captures the collision rate between finite-size bubbles and inertial particles in homogeneous isotropic turbulence using the bubble slip velocity probability density function measured from simulations as an input. In this study, we further develop this approach into a model where the bubble-particle collision rate can be predicted a…
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