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Online proceedings - EDA Publishing Association

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II.<br />

MATHEMATICAL MODEL AND NUMERICAL<br />

METHODOLOGY<br />

To study Dean Vortex flows with regard to mixing<br />

applications, the geometry of the curved channels and the<br />

schematic diagram of the physical features is expressed in<br />

Fig. 1. The flow system is composed of several staggered<br />

three quarters of ring-shaped channels. The angle between<br />

the lines from the center to two intersections of two<br />

consecutive channels is 90°, and the angle between two lines<br />

of the centers of three consecutive channels is 0°.<br />

11-13 <br />

May 2011, Aix-en-Provence, France<br />

<br />

channel. For an accelerated convergence, the algebraic<br />

multigrid (AMG) iterative method is applied for pressure<br />

corrections, and the conjugates gradient squared (CGS) and<br />

preconditioning (Pre) solvers are utilized for velocity and<br />

species corrections. The solution is considered converged<br />

when the relative errors of all independent variables are less<br />

than 10 -4 between successive sweeps.<br />

Poor grid systems can enhance numerical diffusion effects.<br />

If liquid fluids flow diagonally through the simulated grid,<br />

then the numerical effect takes the form of an extra high<br />

diffusion rate. In the proposed grid systems, meshing is<br />

generally aligned in the flow direction in the computational<br />

domain (Fig. 2). Grid-sensitivity tests are done for the preset<br />

Re with several grids. The values of mixing index at the<br />

outlet section for the five mesh densities are also shown in<br />

Table 1. Finally, the mesh density with 8.663×10 5 has been<br />

chosen for further investigation since the mixing indices at<br />

the specific location are almost the same and the numerical<br />

results are grid-independent.<br />

Fig. 1. Schematic diagram of the physical features.<br />

The numerical results presented in this work are based on<br />

the solution of the incompressible Navier-Stokes equation<br />

and a convection-diffusion equation for a concentration field<br />

by means of the finite-volume method.<br />

U 0=⋅∇ (1)<br />

<br />

−∇=∇⋅<br />

μ<br />

2∇+<br />

UPUU<br />

<br />

2<br />

DU<br />

∇=∇⋅<br />

φφρ<br />

(3)<br />

ρ (2)<br />

where U is the fluid velocity vector, ρ is the fluid density, P<br />

is the pressure, μ is the fluid viscosity, φ is the mass<br />

concentration and D is the mass diffusivity. Eq. (3) must be<br />

solved together with Eqs. (1) and (2) in order to achieve<br />

computational coupling between the velocity field solution<br />

and the concentration distribution.<br />

The dimensionless groups characterizing the Dean Vortex<br />

flows are the Reynolds number, which expresses the relative<br />

magnitudes of inertial force to viscous force.<br />

Re = UD H<br />

ν<br />

(4)<br />

where U, D H , and υ denote the velocity, the hydraulic<br />

diameter, and the kinematic viscosity, respectively, and the<br />

Dean number, which expresses the relative magnitudes of<br />

inertial and centrifugal forces to viscous force<br />

= Re<br />

(5)<br />

( ) 5.0<br />

H<br />

RDK<br />

where R is the radius of curvature.<br />

Three-dimensional structured grids are employed, and the<br />

SIMPLEC algorithm is used. All spatial discretizations are<br />

then performed using a second-order upwind scheme with<br />

limiter. The simulation is carried out for a steady state using<br />

the commercial software CFD-ACE+ TM . A fixed-velocity<br />

condition is set at the inlet; the boundary condition at the<br />

outlet is a fixed pressure. At the inlet, the concentrations<br />

normalized to 1 and 0 are prescribed in the halves of the<br />

Number of nodes<br />

Fig. 2. The grid system in the computational domain.<br />

Table 1 The analysis of the grid size independence.<br />

Mixing index<br />

Relative difference<br />

in mixing index<br />

3.577×10 5 0.794 -<br />

4.992×10 5 0.754 5.301%<br />

6.582×10 5 0.725 4.001%<br />

8.663×10 5 0.703 3.129%<br />

9.984×10 5 0.695 1.151%<br />

The uniformity of mixing at sampled sections is assessed<br />

by determining the mixing index of the solute concentration.<br />

The standard deviation of the concentration on a cross<br />

section normal to the flow direction is calculated. And the<br />

standard deviation on the inlet cross section is also computed<br />

and introduced to normalize the one on the specific cross<br />

section. Thus the mixing index can be obtained. The mixing<br />

index φ of the solute concentration, which is defined as<br />

and<br />

σ<br />

D<br />

ϕ 1−= (5)<br />

σ<br />

D 0,<br />

1<br />

σ =<br />

II (6)<br />

D<br />

N<br />

2<br />

∑(<br />

i<br />

−<br />

ave<br />

)<br />

N i=<br />

1<br />

where σ D is the standard deviation of the concentration on a<br />

cross section normal to the flow direction, σ D,0 is the standard<br />

deviation on the inlet cross section, I ave is the averaged value<br />

of the concentration over the sampled section, and I i is the<br />

171

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