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Research Papers: Flows in Complex Systems

Particle Trajectory Study in Submerged Flows With Baffles Using ν2¯f and kε Turbulence Models

[+] Author and Article Information
A. Mehdizadeh

Department of Mechanical and Aerospace Engineering, University of Florida, P.O. Box 116300, Gainesville, FL 32611-6300ameh@ufl.edu

B. Firoozabadi

Department of Mechanical Engineering, Sharif University of Technology, P.O. Box 11365-9567, Tehran, Iranfiroozabadi@sharif.edu

S. A. Sherif

Department of Mechanical and Aerospace Engineering, University of Florida, P.O. Box 116300, Gainesville, FL 32611-6300sasherif@ufl.edu

J. Fluids Eng 132(5), 051105 (May 06, 2010) (10 pages) doi:10.1115/1.4001557 History: Received April 30, 2007; Revised March 30, 2010; Published May 06, 2010; Online May 06, 2010

In this paper, the structure of a wall jet deflected by a baffle along with the trajectory of particles has been studied. This baffle is used to produce a stable deflected surface jet, thereby deflecting the high-velocity supercritical stream away from the bed to the surface. An elliptic relaxation turbulence model (ν2¯f model) has been used to simulate this submerged flow. In recent years, the ν2¯f turbulence model has become increasingly popular due to its ability to account for near-wall damping without use of damping functions. In addition, it has been proven that the ν2¯f model is superior to other Reynolds-averaged Navier-Stokes (RANS) methods in many flows where complex flow features are present. In this study, we compare the results of the ν2¯f model with available experimental data. Since erosion and deposition are coupled, the study of this problem should consider both of these phenomena using a proper approach. In addition to erosion over the bed, the trajectory of the particles is examined using a Lagrangian–Eulerian approach, the distribution of deposited particles over the bed is predicted for a two-phase test case based on a series of numerical simulations. Results show that the maximum erosion happens in a place in which no particle can be deposited, which causes the bed to deform very rapidly in that region. This should help prevent or reduce erosion over the bed. On the other hand, the study will help predict the trajectory of particles and the deposition rates at any section of the channel, and should thus provide useful information to control the erosion and deposition on the channel bed.

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Copyright © 2010 by American Society of Mechanical Engineers
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Figures

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Figure 1

Schematic of flow with baffle wall (not to scale)

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Figure 2

Flow regimes (streamlines) of submerged flow with baffles: (a) deflected surface jet regime—Run 4; (b) reattached wall jet regime—Run 5

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Figure 3

Experimental velocity vectors (top), numerical prediction of the velocity vectors, ν2¯−f (bottom)

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Figure 4

Comparison of decay of the maximum velocities and locus of maximum velocities for the (a and b) DSJ and (c and d) RWJ regimes

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Figure 5

Comparison of the skin friction coefficient over the bed for the two regimes (Runs 6 and 7)

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Figure 6

Skin friction coefficient over the bed for different baffle positions (Runs 1, 2, 4, 6, and 8)

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Figure 7

Maximum skin friction coefficient (absolute value) over the bed for different baffle positions (Runs 1, 2, 4, 6, and 8)

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Figure 8

Trajectories of different size particles (particle release point xi=0, yi=0.01, baffle position x0=0.4 (m))

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Figure 9

Particle trajectories for several release points (particle diameter 100 μ)

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Figure 10

Distribution of deposited particles over the bed

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Figure 11

Number of deposited particles at several sections of the channel (particle diameter 90 μ)

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