Online proceedings - EDA Publishing Association
Online proceedings - EDA Publishing Association
Online proceedings - EDA Publishing Association
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
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