Numerical study of a turbulent jet flow issued from lobed diffuser/ Turbulentinio ciurksles tekejimo is mentinio difuzoriaus skaitinis tyrimas.
Boulenouar, M. ; Meslem, A. ; Imine, B. 等
1. Introduction
The physics of turbulent jet is of considerable interest from both
fundamental and practical aspects. For fundamental aspect, it has been
widely suggested that the mixing process is intimately connected with
turbulence transient. Furthermore, the nozzle geometry and flow initial
perturbations have profound influence on its generation and transition
[1]. For practical aspect, the mixing process governs jet noise level of
airplane and vehicles, spread of pollutant at industrial sites, mixing
rate in combustion chambers and heating, ventilation and
air-conditioning (HVAC) systems in buildings. The turbulent jet
development is very sensitive the diffuser geometry [2-6], which is the
main object of the present work. This technique is named passive
control. It is considered one of the most promising methods for
improving HVAC systems in terms of energy conceptions and thermal
comfort of the occupants. This technique is simple and costless
mechanical modification of the boundary geometry of classical existing
diffusers. Lobed diffusers widely used in aeronautic or aerospace
applications represent an attractive method for HVAC in buildings.
However, the moderate exit conditions and low confinement flow specific
to this field are different from the currently documented applications
of passive control. As the mixing performance depends heavily on the
lobed geometry parameters and exit flow conditions, designing an optimal
air diffuser by experimental means alone is quite expensive due to the
wide range of parameters involved. Computational fluid dynamics (CFD)
methods represent a better alternative to experimental methods in the
case of the optimization studies. Many different cases could be
simulated at fraction of the time required for the experimental method.
The commercial software available in today's market can quickly
provide accurate aerodynamic predictions for a wide variety of
geometries and flow conditions. This way, the predictability of the
turbulence models to reproduce low Reynolds lobed jet vortex structures
and its mixing performance in experimentally well known reference case,
must be provided. Simulations of the turbulent jets employing a standard
k-[epsilon] turbulence model have been performed by [7-9]. Their studies
do not appear to be sufficient for capturing the mixing in these flows.
Model predictions reveal that a very small degree of anisotropy is
predicted throughout the flow field in comparison with experimental
results. For six circular lobed nozzle with a Reynolds number [Re.sub.0]
= 54780 (based on nozzle inner equivalent diameter), author in [10]
found that numerical simulations using four widely employed turbulence
models (k-[epsilon], realizable k-[epsilon], k-[omega] and shear stress
transport (SST) k-[omega]) agree reasonably well with the PIV
measurements in terms of streamwise vorticity and spanwise vorticity.
However, the lobed jet mixing is not quantitatively analyzed and
turbulent kinetic energy is over predicted with about 50 to 130%. Among
the four models investigated by [10], the Realizable k-[epsilon]
turbulence model provides the most accurate prediction for a lobed
nozzle. It should be noted, that all previous studies were performed at
relatively higher Reynolds number as compared to the operational values
in HVAC application. Consequently, acceptable numerical prediction of
turbulent lobed jet mixing performance at low Reynolds remains
questionable.
In this study, the authors analyze the predictability of SST
k-[omega]) in the low Reynolds number inlet condition of lobed diffuser
jet. Numerical simulation results are compared with PIV measurements of
[1].
2. Computational details
The lobed diffuser is built up from a circular section tube of
[D.sub.e] = 40 mm and 76.5 mm length. This straight tube is connected to
a shorter lobed geometry having the same characteristics as indicated in
the study of [1]. The thickness of the wall at the exit plane is 2.5 mm.
Lobed diffuser has the inner and outer lobe penetration angles
(22[degrees], 14[degrees]). Jet exit plane has six lobes with parallel
sides and six troughs of sinusoidal shape (Fig. 1). The lobed diffuser
and the jet development domain are modeled and meshed using the
commercial software Gambit 2.3. The fluid medium is air. The
incompressible jet mixing flow is injected with an initial volumetric
flow rate [Q.sub.0] = 4.7 [10.sup.-3] [m.sup.-3]/s. At the inlet, the
turbulence intensities are estimated to be 1.1%. Because of symmetry,
only the sixth of the physical field is considered as computational
domain (Fig. 2).
This domain extends 10 equivalent diameters downstream of the
exit-plane and 4 equivalent diameters in transverse plane. Constant
static pressure is considered across the outer domain extends with
rotationally periodic boundary conditions imposed on each side. The
numerical analysis is performed using a finite volume based solver
FLUENT 6.3. The SIMPLE algorithm is used for pressure-velocity coupling.
The grid extends gradually in all directions in order to take into
account of the jet development in the domain. The mesh was refined until
no signification changes between cases with different mesh density were
observed.
[FIGURE 1 OMITTED]
[FIGURE 2 OMITTED]
[FIGURE 3 OMITTED]
The final mesh was 1.7 million of cells in the present study (Fig.
3). The values of y+ for the first gridline off the surfaces of the
diffuser wall are less than 1. The convergence criterion required for
the computed residuals is less than 10-6 for all equations.
3. Results and discussion
It should be noted that the entire simulated flow field is created
by duplicating and periodically rotating the computational domain
(periodic on 60[degrees] intervals) through a full 360[degrees]. The
evolution of the centreline axial velocity normalized by the centreline
velocity at jet exit [U.sub.0] is shown in Fig. 4. It is found that the
turbulent model predicts 10% velocity increase at the jet exit, while
the experimental results show only 2% velocity increase. The length of
the potential core of the simulated flow appears to agree reasonably
well with experimental data (3[D.sub.e] to compare to 2[D.sub.e] in
reality). After this region, a satisfactory agreement is obtained on the
velocity levels since the difference between the simulation and the
reference is less then 5%.
[FIGURE 4 OMITTED]
Fig. 5 shows the streamwise evolution of the normalized
longitudinal volumetric flow rate, which was obtained by integrating
streamwise velocity component U at each streamwise position X. Only the
values larger than 0.2 m/s were taken into account.
[FIGURE 5 OMITTED]
[FIGURE 6 OMITTED]
The numerical flow rate evolution law is close to the experimental
one with a relative maximum deviation of 7% at X = 10[D.sub.e]. From the
position X = 2[D.sub.e], the curves are linear. On the exit radial
distribution of the mean fluctuating streamwise velocity is shown in
Fig. 6, the two peaks of the curve at X [approximately equal to]
0.4[D.sub.e] and X [approximately equal to] 0.6[D.sub.e] respectively,
are well predicted by the model. These peaks are related to the areas of
high velocity gradients due to connection between the jet core flow and
the lobe flow and between the periphery of the jet flow and the zero
speed in the ambient air respectively. Figs. 7 and 8 give at the
streamwise position X = 0.25 [D.sub.e], the normalized streamwise
vorticity distribution of the present numerical simulation and of the
experimental data respectively. The simulated transverse field agrees
reasonably well with the experimental one. In fact, the six pairs of
counter rotating large scale streamwise structures generated by the
geometry of the lobed diffuser are predicted by the model. Each
structure corresponds to the shear generated by two inverse transverse
flows: outward flow due to the outer lobe penetration angle and inward
flow due to the inner lobe through penetration angle.
It is interesting to note that the maximal level of [bar.[omega]]
is equal the experiment maximal value.
[FIGURE 7 OMITTED]
[FIGURE 8 OMITTED]
4. Conclusion
Numerical simulation of a low Reynolds turbulent lobed jet using
the SST k-[omega] model has been carried out. Results of centreline
longitudinal velocity, volumetric flow rate, mean streamwise velocity
fluctuating and streamwise vorticity agree reasonably well with the PIV
measurements. The SST k-[omega] model can be considered for future works
as an efficient tool for quickly optimizing lobed diffuser design and
analyzing exit Reynolds number effect on the mixing performance of the
lobed diffuser. The shown numerical method will allow many geometric
parameter studies to improve mixing process for HVAC application.
Received November 12, 2010
Accepted April 15, 2011
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M. Boulenouar, University of Science and Technology, U.S.TO, Oran,
Algeria, E-mail: boulenouar_m@yahoo.fr
A. Meslem, LEPTIAB, Universite de La Rochelle, Pole Sciences et
Technologie, 17000 La Rochelle, France, E-mail: amina.meslem@univ-lr.fr
B. Imine, University of Science and Technology, U.S.TO, Oran,
Algeria, E-mail: imine_b@yahoo.fr
I. Nastase, Technical University of Civil Engineering, Building
Services Department, Bucharest, Romania, E-mail:
ilinca.nastase@gmail.com