'Large-eddy modeling for particle-laden flow: turbulence modulation and intensified heat transfer' by Bernard Geurts (Twente)

Duration: 51 mins 37 secs
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'Large-eddy modeling for particle-laden flow: turbulence modulation and intensified heat transfer' by Bernard Geurts (Twente)'s image
Description: Talk given by Prof Bernard Geurts (University of Twente) at Department of Engineering, University of Cambridge, 19 May 2017, as part of the CUED Fluids seminar series.

The talk discussed Large Eddy Simulation (LES) for turbulent particle-laden flows, discussing sub-grid modelling and the coupling of the discrete particle phase with the continuous flow model.
 
Created: 2017-05-30 15:58
Collection: Cambridge Engineering Dept Fluids Seminars
Publisher: University of Cambridge
Copyright: Bernard Geurts
Language: eng (English)
Keywords: two-phase flow; large-eddy simulation; particle-laden flow; subgrid models; heat transfer; stochastic forcing; point particles;
 
Abstract: Turbulent flow arises in a wide variety of natural and technological situations. While the full richness of turbulence is appreciated qualitatively, a quantitatively accurate prediction is often outside the scope of direct numerical computations. As an alternative, filtered flow descriptions, such as large-eddy simulation (LES), have been proposed and studied intensively, promising a combination of accuracy and computational feasibility. While LES is effective in reducing the dynamic complexity of a simulation, accuracy limitations are a matter of ongoing discussion. In this presentation, turbulent flow with embedded point-particles will be reviewed, paying attention to the coupling of the discrete particle phase with the continuous flow model. Effects of phase transition will be included and contributions to the effectiveness of heat transfer will be quantified. Particular attention will be given to flows at high Reynolds numbers for which next to explicit sub-filter modeling of the flow also stochastic forcing of the particle motion will be included.
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