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RANS modelling and LES of particle deposition in a turbulent square duct flow

DOI: 10.1615/ICHMT.2009.TurbulHeatMassTransf.320
12 pages

J. Adams
Institute of Particle Science and Engineering, School of Process, Environmental and Materials Engineering, University of Leeds, Leeds LS2 9JT, UK

Michael Fairweather
School of Chemical and Process Engineering, University of Leeds, Leeds, LS2 9JT, UK

Jun Yao
Institute of Particle Science and Engineering, School of Process, Environmental and Materials Engineering, University of Leeds, Leeds LS2 9JT, UK

要約

The ability of a RANS approach, coupled with a Lagrangian particle tracking technique, to predict particle dispersion and deposition in a high Reynolds number duct flow has been assessed for spherical particles in the range 5-500 μm, based on the assumption of one-way coupling. The results are compared with LES-based predictions and single-phase flow data. Predictions of the time-dependent particle dispersion and deposition show good agreement with LES results, with similar agreement in the spanwise direction for all but the largest particles. In the latter case, analysis of the forces acting on the particles, and mean relative slip velocities, indicates that this is due to an under-prediction of the spanwise drag force. This results in LES predicting that the largest particles tend to concentrate at the corners of the duct floor, whilst for RANS they deposit with a more even distribution.

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