2014
DOI: 10.1063/1.4871728
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Numerical simulation of bubble dispersion in turbulent Taylor-Couette flow

Abstract: We investigate bubble dispersion in turbulent Taylor-Couette flow. The aim of this study is to describe the main mechanisms yielding preferential bubble accumulation in near-wall structures of the flow. We first proceed to direct numerical simulation of Taylor-Couette flows for three different geometrical configurations (three radius ratios η = R 1 /R 2 : η = 0.5, η = 0.72, and η = 0.91 with the outer cylinder at rest) and Reynolds numbers corresponding to turbulent regime ranging from 3000 to 8000. The statis… Show more

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Cited by 57 publications
(68 citation statements)
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“…The left block of data are experiments and numerical simulations for microbubble drag reduction from refs. [214,215,222,223], and the right block of data are our large Re experiments with deformable bubbles [196,205,206].…”
Section: Effective Bubble Force Models Dispersed Bubbly Flow Anmentioning
confidence: 99%
“…The left block of data are experiments and numerical simulations for microbubble drag reduction from refs. [214,215,222,223], and the right block of data are our large Re experiments with deformable bubbles [196,205,206].…”
Section: Effective Bubble Force Models Dispersed Bubbly Flow Anmentioning
confidence: 99%
“…For example, if two immiscible liquids are fed continuously to a horizontally oriented Taylor vortex flow cell, a variety of spatial and spatiotemporal hydrodynamic structures arise [35][36][37][38]. More recently it has been reported that the introduction of even a small amount of gas into a vertically oriented Taylor vortex flow cell results in dramatic drag reduction on the rotating inner cylinder and nontrivial gas bubble spatial distribution [39][40][41][42]. Some recent studies have been performed in order to characterize these gas-liquid interactions in Taylor-Couette flows [43][44][45][46].…”
Section: Introductionmentioning
confidence: 98%
“…The code is based on a finite volume method, and the velocity and pressure (u,P ) are discretized on a staggered nonuniform cylindrical grid. The numerical code has been already used in laminar and turbulent configurations (see details in[33])). The spatial derivatives are computed with second order accuracy, and temporal integration is achieved by a third order Runge-Kutta scheme and a semi-implicit Crank-Nicolson scheme for the viscous terms.…”
mentioning
confidence: 99%