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Technical Brief

Numerical Evaluation of Unsteadiness in Particle Dispersion Modeling

[+] Author and Article Information
W. Ahmadi

Department of Mechanical Engineering,
Institute of Energy and Power Plant Technology,
Technische Universitat Darmstadt,
Darmstadt 64289, Germany
e-mail: wahid-ahmadi@gmx.de

A. Mehdizadeh

Department of Mechanical and Nuclear Engineering,
The Pennsylvania State University,
University Park,
State College, PA 16801
e-mail: aum50@psu.edu

M. Chrigui

Department of Mechanical Engineering,
Institute of Energy and Power Plant Technology,
Technische Universitat Darmstadt,
Darmstadt 64289, Germany
e-mail: chrigui@ekt.tu-darmstadt.de

A. Sadiki

Department of Mechanical Engineering,
Institute of Energy and Power Plant Technology,
Technische Universitat Darmstadt,
Darmstadt 64289, Germany
e-mail: sadiki@ekt.tu-darmstadt.de

Contributed by the Fluids Engineering Division of ASME for publication in the JOURNAL OF FLUIDS ENGINEERING. Manuscript received May 22, 2014; final manuscript received September 17, 2014; published online November 6, 2014. Assoc. Editor: John Abraham.

J. Fluids Eng 137(3), 034502 (Nov 06, 2014) (7 pages) Paper No: FE-14-1271; doi: 10.1115/1.4028660 History: Received May 22, 2014; Revised September 17, 2014

The paper deals with the issues of stochastic dispersion models for the inertial particle turbulent flow. Thereby, dispersion models are applied to generate the instantaneous velocity of the fluid at particle location to reproduce the effect of turbulence on particle transport within an Eulerian–Lagrangian approach. Especial focus is on the influence of unsteady calculation of carrier phase in combination with unsteady phase coupling. Computations are carried out in a particle-laden turbulent shear flow using three dispersion models. It turns out that accurate prediction of the carrier phase is essential to predict the dispersion in an acceptable level of accuracy.

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References

Figures

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Fig. 1

Variation of the particle volume fraction (α) in the computational domain

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Fig. 2

View of the experimental arrangement of the wind tunnel and the particle image velocimeter system

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Fig. 3

Velocity (left) and turbulent kinetic energy (right) for the gas phase: comparison of steady (dashed lines) and unsteady (lines) calculations with experimental data (dots) at axial positions x = 10 m, x = 100 mm, and x = 300 mm

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Fig. 4

Mean particle velocity and fluctuation at x = 300 mm, comparison of cases X1 and X2. Dots (expt.), red solid lines (RWM-Iso), and green dashed lines (the PLM calculations), both in steady mode.

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Fig. 5

Mean particle velocity and fluctuation at x = 300 mm, comparison of cases X4 and X6. Dots (expt.), solid lines (RWM-Aniso), and dashed lines (the PLM calculations), both in unsteady mode.

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Fig. 6

Mean concentration of particles predicted by various dispersion models at x = 300 mm, x = 700 mm, and x = 1200 mm (cases X3, X4, and X6)

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