An Investigation on Uncontrolled and Vortex-Generator Controlled
Supersonic Jets
PARAMESH T.1, TAMAL JANA2,*, MRINAL KAUSHIK3
1Department of Aerospace Engineering,
JAIN (Deemed-to-be University),
Bengaluru,
INDIA
2Department of Aerospace Engineering,
B.M.S. College of Engineering,
Bengaluru,
INDIA
3Department of Aerospace Engineering,
Indian Institute of Technology Kharagpur,
Kharagpur,
INDIA
*Corresponding Author
Abstract: - The present study is carried out with a motivation to investigate the axisymmetric supersonic jet
both experimentally and computationally. An open jet facility was utilized to carry out the experiments, and the
results were compared with computational simulations employing the K-omega SST turbulence model using
ANSYS software. It is important to note that, the computational validation has been done incorporating the
Rayleigh Pitot formula to match the centerline pressure for the uncontrolled jet, which has not been found in
any other validation studies according to the authors’ understanding. Besides, the experimental study is
extended with a focus on evaluating the impact of Vortex Generators (VGs) on Mach 1.6 supersonic jets. The
aim was to enhance jet mixing, a critical factor for improving engine performance. Various nozzle geometry
modifications were explored in the past, but VGs emerged as the most effective method for optimizing jet
mixing efficiency. The investigation revealed a substantial decrement in the supersonic jet core length when
VGs were introduced at the nozzle exit, especially under favorable pressure gradients. This reduction in the
supersonic core emphasized the role of VGs in enhancing mixing efficiency. The study also confirmed that
VGs significantly distort wave patterns within the supersonic core, crucial for improved jet mixing. This
research signifies the importance of VGs in augmenting the mixing of Mach 1.6 jets, offering the potential for
improved jet performance and reduced noise emissions in the aerospace industry.
Key-Words: - Vortex Generator, Axisymmetric Jet, Supersonic Jet, Jet Mixing, Nozzle Pressure Ratio,
Supersonic Core.
Received: January 16, 2023. Revised: November 11, 2023. Accepted: December 8, 2023. Published: January 23, 2024.
1 Introduction
High-speed supersonic jets are extensively used in
the Aerospace industry. However, the supersonic
jets have a limited spread or mixing with the
surrounding atmospheric air compared to subsonic
streams. Therefore, enhancing the mixing of a jet is
critical for augmenting engine performance. This
improvement is particularly important in
diminishing the infrared plume and loud noise that
emanates from the hot exhaust gases of the jet, [1].
Essentially, the large and small-scale vortices
present inside the flow field determine the mixing
rate. Note that, the larger vortices entrain a large
amount of atmospheric air into the jet flow whereas
the small vortices help in transporting the entrained
air mass throughout the jet flow. Therefore, the right
combination of large and small-scale structures is
necessary to achieve good mixing. Unfortunately,
the right proportion of large to small-size vortices is
difficult to achieve spontaneously, [2], [3]. Hence,
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Control techniques are to be used to generate the
vortices in mixed proportion to achieve better
mixing, [4]. The control methods can be active or
passive. The Active control uses the external energy
to modify the jet flow characteristics. Whereas, the
passive control is achieved by the modifications in
the geometry of the nozzle.
As it is known that the rate of mixing for the
supersonic jet is significantly lower than that for the
subsonic jet, the length of the supersonic jet is much
longer when compared with the subsonic jets. The
supersonic length can be found using experimental
and numerical methods. The empirical relation in
finding the supersonic core length for any nozzle
geometry can be expressed using Equation 1, [5].
󰇣
󰇤󰇟󰇠 (1)
To enhance the supersonic jet mixing, the
passive control techniques using the geometrical
modifications are very effective. For example, the
notched nozzles reduce the jet noise by enveloping
the sources of noise with low-speed turbulent flows
[6]. On the other hand, nozzles with grooves [7],
vanes [8], lobes [9], and chevrons [10], improve the
jet mixing and distort the shock waves. The grooved
nozzles create streamwise vortices, whereas the
vanes and lobes alter shock cell structures leading to
the improvement in jet mixing. Chevron nozzles are
also responsible for the breakdown of the primary
jet which improves the mixing and reduces the
noise.
The introduction of a thin metal strip at the
nozzle exit is another effective passive control
method. This thin metal strip, attached at the exit of
the nozzle, is known as a vortex generator (VG) or
tab. The types of vortices generated depend upon
the size and shape of the strip. Tab-like devices are
introduced in diametrically opposite positions at the
nozzle outlet, [11]. These tabs distort the
development of the jet resulting in the jet splitting
into two streams of high velocity. Subsequent
studies also confirmed that the placement of the tabs
at the nozzle lip enhances jet mixing in subsonic and
supersonic flows, [12]. Particularly, the influence of
tabs on augmenting the supersonic jet mixing is
higher. The mixing enhancement is obtained along
with noise reduction by these devices. Essentially,
the centerline velocity is reduced due to the
improved mixing properties of these tabs, [13].
Moreover, the streamwise vortices are created due
to the tab-induced "indentation" in the shear layer,
[14]. Essentially, a "trailing vortex" at the tip of tabs
and a “necklace vortex” at the base of a tab are
generated in this process. Later, it was observed that
the cross-sectional shape of the jet changes when the
vortex generators are introduced which thereby
results in a higher rate of mixing, [15]. This change
holds true for both subsonic, transonic, and
supersonic flow conditions, suggesting a consistent
underlying mechanism, independent of
compressibility factors. Recent investigations have
focused on various types of corrugation geometries
applied to triangular or rectangular vortex
generators to enhance supersonic jet mixing, [16],
[17, [18].
While numerous studies have explored the
influence of vortex generators on supersonic jets,
there remains a gap in research specifically
addressing the altered dimensions of vortex
generators. Moreover, there is a need to provide the
appropriate validation method since experimentally
found centerline pressure data is not the actual
pressure, experienced inside the jet core. Therefore,
the study aims to provide an appropriate validation
technique to establish a reliable computational
model while matching the experimental results.
Moreover, the study is extended to understand the
effect of a pair of vortex generators positioned 180o
apart at the exit of a Mach 1.6 axisymmetric nozzle,
considering varied jet expansion states. By adjusting
the nozzle pressure ratio (NPR) from 2.5 to 6 in
steps of 1.75, different levels of expansion at the
nozzle outlet are simulated. This research comprises
three primary phases. Initially, the reduction in the
supersonic core length is measured by evaluating
the total pressure decay along the jet's centerline due
to the vortex generators. Secondly, the jet spread
both in line with and perpendicular to the vortex
generators is investigated by analyzing pressure
profiles. Furthermore, the impact of the vortex
generators on the supersonic core length is
qualitatively assessed utilizing the Schlieren image
visualization technique.
2 Methodology
The experiments have been conducted utilizing an
open jet test facility at the Global Academy of
Technology, Bengaluru. The primary objective is to
investigate the behavior of a Mach 1.6 jet. Based on
the Area-Mach number relationship, the convergent
divergent nozzle was designed to have a jet of 1.6
Mach number. According to the air storage capacity
and the mass flow rate of the air, the ideal diameter
of the throat of the nozzle was chosen as 9 mm and
the inlet and exit diameters were considered as 20
mm, and 10.06 mm, respectively. The 32 mm outer
periphery of the nozzle was chosen to ensure a good
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fit and alignment within the settling chamber's
flange. The designed Nozzle can be found in Figure
1.
Fig. 1: CD Nozzle design with the dimensions
This study aims to investigate the jet flow
characteristics of overexpanded, correctly expanded,
and underexpanded states, where the jets are ejected
from the nozzle designed for a Mach 1.6 flow. The
settling chamber pressure corresponding to the
correct expansion case has been set to 4.25 Bar. To
explore the varied conditions from over-expanded to
under-expanded, the air is supplied at different
nozzle pressure ratios (NPR). NPR signifies the
ratio of the total pressure at the settling chamber to
the atmospheric pressure at the nozzle exit.
Experiments are conducted for over-expansion at
NPR 2.5, correct expansion at NPR 4.25, and under-
expansion at NPR 6.
Vortex generators, which are small metal strips
about 1 millimeter thick, are positioned at opposite
ends of the nozzle exit. These generators, designed
to cover 5 percent of the total nozzle exit area, were
crafted with an aspect ratio of 2, meaning the length
is twice that of the width.
The aluminum Pitot probe, with an outer
diameter of 0.6 mm and an inner diameter of 0.4
mm, is instrumental in measuring pressure within
the supersonic jet flow. When the supersonic jet
encounters the Pitot probe, it generates a bow shock
ahead of the probe inlet. The Pitot tube is capable of
measuring total pressure behind the bow shock
wave (P02) in a supersonic flow, as well as the
stagnation pressure of a subsonic flow. The total
pressure of the jet ahead of the shock wave (P01) can
also be determined using the normal shock relations,
as expressed by Equation 2, [19].

 󰇧 
󰇛
󰇜󰇨
 󰇡󰇛󰇜
󰇛󰇜
󰇢
 (2)
Where M1 is the incoming supersonic freestream
Mach number.
Essentially, the Pitot pressure is the total pressure
of the jet flow measured behind the bow shock
formed due to the insertion of the Pitot tube into the
flow field. To record the pressure values, the Pitot
tube is connected to the pressure scanner through a
PVC tube. The accuracy of the pressure scanner is
+0.01 bar. A software-controlled 3-axis traverse
mechanism is used to position the Pitot tube
accurately within the jet flow.
The measured Pitot pressure (P) is non-
dimensionalized by the settling chamber pressure
(Po). Also, the distance in the jet flow axis (X) and
the perpendicular axes (Y and Z) are made non-
dimensional by the exit diameter (De) of the nozzle.
The primary objective of the research is to assess
the impact of vortex generators on understanding
and controlling the mixing characteristics of the
Mach 1.6 jet. For a detailed investigation into the
characteristics of the Mach 1.6 jet flow, the flow
visualization method known as the Schlieren
technique is utilized to capture the wave patterns in
the jet flows.
In understanding the flow characteristics of a
Mach 1.6 jet, the utilization of a Computational
model aids in simulating the jet's behavior,
predicting flow patterns, and quantifying various
parameters without requiring extensive physical
testing. Employing commercially available software
like ANSYS enables the analysis of the jet for
understanding flow structures and characteristics.
Based on the experimental observation to study the
inherent flow physics of supersonic axisymmetric
jet. Therefore, the Computational model is
developed to study the characteristics of a Mach 1.6
jet. The 3-D nozzle and atmospheric domain are
created using CATIA v5 software as shown in
Figure 2. The CD Nozzle is designed with the same
dimensions as mentioned above in Figure 1. Based
on the existing literature [20], the jet spread domain
extends up to 30 times the exit diameter, and the
atmospheric domain length is chosen as 30 times the
exit diameter of the Nozzle for the study. This
design plays a crucial role as it serves as the
fundamental framework for subsequent simulations
and analysis.
Fig. 2: Design of nozzle with far-field in CATIA V5
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Following the design phase, the model is
imported to ICEM CFD to develop a mesh. Meshing
is vital in CFD simulations as it divides the model
into smaller elements for accurate calculations. Part
names are assigned in the model and a blocking
technique is used to create an appropriate mesh
structure. In the current investigation, the
computational model has been discretized using a
structural hexahedral mesh as shown in Figure 3,
resulting in 2 million elements after a grid
independence study, facilitating the necessary detail
for precise analysis. The mesh skewness is
maintained at about 0.5, ensuring a regular grid of
ideal geometrical shape and establishing a node-to-
node connection for a more seamless simulation.
The y+ value in the near-wall zone is maintained
within the range of 5 to 30. Additionally, the mesh
demonstrates a variation of approximately 5 to 10
m in spacing in the near-wall region, satisfying the
y+ value near the wall. This modification is
intended to ensure that the mesh near the jet's
centerline, spanning from the nozzle inlet to the
enclosure's end downstream, is extremely fine. This
finely detailed mesh in this specific region aids in
capturing shocks efficiently, thereby enhancing the
computational efficiency of the investigation.
Fig. 3: Mesh model in ICEM-CFD
The numerical simulation is performed using
Reynolds Averaged Navier Stokes (RANS)
equations with the Shear Stress Transport (SST)
κ−omega turbulence model. The turbulence
equation consists of the equation for the kinetic
energy (κ) and specific dissipation rate (ω).
The equation for kinetic energy and specific
dissipation rate are provided in Equation 3 and
Equation 4, respectively.
󰇛󰇜
󰇛󰇜


(3)
󰇛󰇜
󰇛󰇜


(4)
Tk and Tw are the dissipation of k and ω due to
turbulence, respectively. Sk and Sω are the source
terms.
The (SST) κ−omega turbulence model was
employed to effectively capture the complex viscous
and compressibility effects occurring within the
flow. Notably, the (SST) κ−omega model accounts
for dilatation dissipation seen in high Mach-number
flows, a phenomenon caused by compressibility that
is not present in incompressible flows. The choice
of the (SST) κ−omega model was determined by the
necessity to simultaneously address high turbulence
flow and low Reynolds number effects in high
Mach-number flow conditions.
Table 1 shows the detailed boundary conditions
imposed on the simulation model. These include
parameters such as nozzle inlet pressure, wall
conditions, far-field and near-field settings,
atmospheric domain, and specifics related to the
turbulence model used. The boundary conditions
outlined in Table 1 were crucial in setting the
guidelines for the simulation and were accurately
replicated within the CFX software, as indicated in
Figure 4.
Table 1. Boundary conditions for the numerical
model
Boundary conditions
Nozzle inlet
Nozzle wall
Far-field
Near Field
Atmospheric domain
Lip wall
Fig. 4: Assigned boundary conditions in CFX
Due to the axisymmetric nature of the flow, a
planar contour was chosen to comprehend the
physics behind the flow and the formation of shock
cells.
For the numerical model, in the supersonic flow
regime, the total pressure behind the bow shock
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along the jet centerline is obtained by substituting
the corresponding values of Mach number and static
pressure, ahead of the shock, along the centerline in
the Reyleigh Pitot formula, as given by Equation 5,
[21].

󰇡 󰇛󰇜
󰇛󰇜󰇢󰇡
󰇢󰇡
 󰇢 (5)
Where P02 is the total pressure behind the normal
shock. P1 is the freestream static pressure. M1 is the
incoming supersonic freestream Mach number.
The total pressures for supersonic and subsonic
cases are made dimensionless to obtain p/po. The
obtained values from the computational model are
compared with experimental data which confirms
that the CFD model data is in proximity with the
experimental data, as can be seen in Figure 5 and
Figure 6. It is important to note that, the centerline
pressure plot for the experimental and the numerical
observation cannot be directly compared as the
supersonic core is wave-dominated and the pitot
probe essentially measures the pressure behind the
bow shock. Since the supersonic core is wave-
dominated, there is no way for the experimental
intrusive pressure measurement technique to
measure the actual total pressure experienced in the
supersonic core. Therefore, the Rayleigh Pitot
formula is utilized to convert the static centerline
pressure (computationally calculated) to the total
pressure downstream of the bow shock. Essentially,
the calculated total pressure downstream of the bow
shock from the computational data is compared to
the experimental measured total centerline pressure,
as shown in Figure 5.
The efficacy of the numerical model was also
tested by comparing its results with experimental
Schlieren image and Numerical CFD particularly
focusing on the Mach disk formation at NPR 6. The
comparison between the Schlieren and the
numerical CFD data, as shown in Figure 6,
demonstrates that the numerical model is in line
with the experimental results, particularly regarding
shock core length.
Fig. 5: Comparison of centreline total pressure ratio
for experimental and computational axisymmetric
uncontrolled Mach 1.6 jet at NPR 6
Fig. 6: (a) Schlieren image, (b) computational Mach
contour, (c) Mach number vs X/D plot for the
uncontrolled axisymmetric jet at NPR 6
3 Results and Analysis
In the domain of jet studies, the decay in centerline
pressure is a critical parameter that provides insights
into the propagation and mixing of a jet. It
essentially measures how fast the mixing process
occurs within the jet's flow field. A more rapid
decline in centerline pressure indicates that the jet
mixing is more efficient. Additionally, centerline
pressure decay helps defining the boundaries of the
jet core, which essentially refers to the region along
the jet's axis where the supersonic jet remains
dominant. It can be noted that the effectiveness of
the vortex generators is measured by the rate of
decrease in the potential core region of the jet.
0 5 10 15 20 25
0.2
0.4
0.6
0.8
1.0
P/Po
X/D
Experimental
Numerical - Rayleigh pitot correction
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3.1 Uncontrolled Jet
The peak and trough of the centerline pressure
decay (Figure 7) show the region of the supersonic
core in the supersonic jet. The centerline pressure
along the Y axis is non-dimensionalized by the
settling chamber pressure and the axial length along
the X axis is non-dimensionalized by the exit
diameter of the axisymmetric jet. It is easy to
observe that, for the uncontrolled Mach 1.6 jet, the
supersonic core prevails around X/D=12, and after
that, there is a characteristics decay region.
Fig. 7: Centerline pressure decay for the
axisymmetric uncontrolled jet at NPR 6
Schlieren visualization, a widely utilized optical
method, demonstrates the fluid flow variations
based on density gradients. Strong expansion waves,
Mach Disc, region of subsonic flow, oblique shock,
and shock cell length can be seen in Figure 8 and
Figure 9 revealing a significant presence of barrel
shock structures within the jet core.
Fig. 8: Schlieren image for the axisymmetric
uncontrolled jet at NPR 6
Fig. 9: Density gradient for the axisymmetric
uncontrolled jet at NPR 6 (computational data)
Fig. 10: Mach contour of the axisymmetric
uncontrolled jet at NPR 6 (computational data)
Fig. 11: Velocity vectors of the axisymmetric
uncontrolled jet at NPR 6 (computational data)
The Mach contour, displayed in Figure 10, offers
insight into the velocity distribution within the
axisymmetric supersonic jet designed for a Mach
number of 1.6. In Figure 11, the velocity vectors of
the streamlines are depicted, revealing the process
of entrainment, where atmospheric air is drawn into
the jet flow and the subsequent mixing is obtained
between the entrained air and the core jet flow.
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Fig. 12: Radial Mach contour for the axisymmetric
uncontrolled jet at NPR 6 (a) at x = 0.5De, (b) at x =
1De, (c) at x = 2De, (d) at x = 4De (computational
data)
Fig. 13: Eddy viscosity contour for the
axisymmetric uncontrolled jet at NPR 6
(computational data)
Fig. 14: Turbulence kinetic energy contour for the
axisymmetric uncontrolled jet at NPR 6
(computational data)
Figure 12 illustrates the radial distribution of
Mach numbers in an axisymmetric uncontrolled jet,
specifically for a nozzle pressure ratio (NPR) of 6.
The radial Mach contour provides a visual
representation of how the Mach number varies
across different radial positions from the centerline
of the jet. It is interesting to observe that the
centerline velocity is maximum at x=1De and the
radial fluctuation in velocity distribution is lesser
towards the downstream direction.
Eddy viscosity in supersonic jet mixing signifies
the apparent viscosity accounting for turbulent
fluctuations, influencing momentum transport.
Figure 13 is the Contour of Eddy viscosity for the
uncontrolled Jet at NPR 6. This parameter is
particularly significant as it facilitates the
understanding of how momentum and energy are
transported within the turbulent flow, offering
insights into the spreading and entrainment of the jet
into the surrounding air. On the other hand,
turbulent kinetic energy represents the energy
associated with the turbulent fluctuations within the
flow field. It is crucial for assessing the strength of
the turbulent structures within the jet, providing
valuable information about the mixing
characteristics of the jet with the ambient
atmosphere. Higher values indicate a more
energetic, turbulent flow, influencing the dispersion
and dissipation of the jet into the surrounding air.
The Eddy viscosity and turbulent kinetic energy in
the near stream region are observed to be higher at
the shear layer of the jet where the mixing happens
vigorously (Figure 13 and Figure 14]. Essentially,
higher eddy viscosity and turbulent energy at the
free shear layer are responsible for higher mixing at
that region. As the jet spreading is eventually
accomplished at far downstream, the intensity of
eddy viscosity and turbulent kinetic energy are seen
to be uniform at the far downstream region.
3.2 Vortex Generator Controlled Supersonic
Jet
The changes in centerline pressure for both
uncontrolled and controlled jets for the
underexpansion condition, which corresponds to
NPR 6, are examined using centerline pressure
distribution, as shown in Figure 15. When looking at
the uncontrolled jet, one can observe the supersonic
core of the jet extends up to an axial distance of
approximately X/D = 13. However, by introducing
vortex generators at the nozzle exit, the length of the
jet's core is significantly reduced to about X/D = 4.
The core length reduction is expressed in terms of
percentage, calculated using Equation 6.
󰇛󰇜

  (6)
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Fig. 15: Pressure decay along the centerline of the
jet at NPR 6
Fig. 16: Pressure decay along centerline of jet at
NPR 4.25
Fig. 17: Pressure decay along the centerline of the
jet at NPR 2.5
This reduction corresponds to a remarkable
decrease of around 69.23% in the core length. The
introduction of uniformly sized small-scale vortical
structures into the jet field is the primary reason
behind this enhanced mixing. Notably, it is observed
that uncontrolled jets attain a self-similar profile
beyond X/D = 24, while controlled jets achieve self-
similarity beyond X/D = 10.
Transitioning to NPR 4.25, which corresponds to
a correct expansion level, as depicted in Figure 16,
the decay in centerline pressure for both
uncontrolled and controlled jets exhibits a similar
trend. In this scenario, the controlled jet with
rectangular tabs at the nozzle exit significantly
outperforms the uncontrolled jet, resulting in an
impressive core length reduction of approximately
66.6%. Also, it is observed that uncontrolled jets
attain a self-similar profile beyond X/D = 23, while
controlled jets achieve self-similarity beyond X/D =
6. This suggests that early viscous effects play a
dominant role in the performance of controlled jets.
Figure 17 portrays the decay in centerline
pressure at NPR 2.5, which is characterized by an
overexpanded state. Here, the controlled jet
demonstrates a core length reduction of
approximately 33.33% compared to the uncontrolled
jet. Also, we've noticed that uncontrolled jets keep a
self-similar pattern beyond X/D = 12.5, while
controlled and uncontrolled jets reach this point
slightly sooner, at X/D = 11.5.
These observations collectively demonstrate the
efficiency of promoting enhanced mixing through
the use of vortex generators placed at the nozzle exit
for a Mach 1.6 circular nozzle. The highest level of
mixing is achieved in the overexpanded condition
(NPR 6), resulting in a core length reduction of up
to 69.23%. Vortex generators are particularly
effective in this state due to their ability to shed
uniform-sized vortices in the presence of an adverse
pressure gradient. The study also quantifies the
percentage reduction in core length for different
NPRs, confirming the best expansion condition that
leads to maximum mixing. The results suggest that
the vortex generator performs better in
underexpanded conditions with favorable pressure
gradients.
0 5 10 15 20 25
0.2
0.4
0.6
0.8
1.0
P/Po
X/D
Uncontrolled jet
VG Controlled Jet
0 5 10 15 20 25
0.2
0.4
0.6
0.8
1.0
P/Po
X/D
Uncontrolled jet
VG Controlled Jet
0 5 10 15 20 25
0.2
0.4
0.6
0.8
1.0
P/Po
X/D
Uncontrolled jet
VG Controlled Jet
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Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
a) X/D = 0.5
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
b) X/D = 1
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
c) X/D = 2
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
d) X/D = 4
Fig. 18: Pressure distributions for uncontrolled and VG-controlled jets at NPR 6
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
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Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
a) X/D = 0.5
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
b) X/D = 1
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
c) X/D=2
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
d) X/D = 4
Fig. 19: Pressure distributions for uncontrolled, VG-controlled jets at NPR 4.25
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
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Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
a) X/D = 0.5
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
b) X/D = 1
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
c) X/D = 2
Y Profile - along the vortex generator Z Profile - perpendicular to the vortex generator
d) X/D = 4
Fig. 20: Pressure distributions for uncontrolled, VG-controlled jets at NPR 2.5
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Y/D
Uncontrolled jet
VG Controlled Jet
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
P/Po
Z/D
Uncontrolled jet
VG Controlled Jet
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The study explored the pressure changes along
the length and width of the plain rectangular tabs at
different streamwise positions across various NPR
sets. The study involved plotting the non-
dimensional total pressure against the non-
dimensional distance along the tab length (Y/D) and
tab-width (Z/D) for varying axial positions. The
radial pressure profiles for controlled and
uncontrolled jets along the VG and Normal to VG
are illustrated in Figure 18, Figure19 and Figure20
respectively. Figure 18 depicts the pressure profiles
for controlled and uncontrolled jets at NPR 6 for
axial positions of X/D = 0.5, 1, 2, and 4 along the
VG and normal to the VG. Similarly, pressure plots
have been presented for NPR 4.25 and 2.5 as shown
in Figure 19 and Figure 20, respectively.
The primary concern regarding VG-induced
controlled jets is flow asymmetry. It's critical to
ensure that the control method doesn't introduce
significant asymmetry while enhancing mixing. To
explore this, pressure distributions along and across
the VGs were measured, focusing on controlled jets’
impact concerning free jets.
For underexpansion (NPR 6), introducing the
VGs sheds more vortices closer to the jet axis. At X
= 0.5D, pressure profiles show considerable
oscillations, due to the relaxation effect caused by
jet injection into a larger environment. As the
distance increases, oscillations diminish. For the
NPR 6, 4.25, and 2.5, the jet spread is reduced along
the vortex generator and enhanced in the direction
normal to the vortex generator leading to effective
mixing leading to large reduction in the pressure
ratio.
The pressure profile reveals two distinct peaks in
the radial profile, illustrating two separate jet
streams. Jet spread perpendicular to the VG
orientation is higher due to counter-rotating
streamwise vortices generated by the VG. This
inward entrainment of the surrounding flow towards
the core and outward ejection of the core flow
introduces additional jet spreading perpendicular to
the VG orientation.
Essentially, the VG introduces small-scale
mixed-size vortices, beneficial for mixing. It can be
noted that the interaction among the mixed-size
vortices re-establishes symmetry in the flow field.
VG shows maximum spread and improved
symmetry in the jet flow field.
a) Uncontrolled jet for NPR 6
b) VG-controlled jet (observed along the VG)
c) VG controlled jet (observed normal to VG)
Fig. 21: Schlieren images of uncontrolled and VG-
controlled jets at NPR 6
a) Uncontrolled jet for NPR 4.25
b) VG controlled jet (observed along the VG)
c) VG controlled jet (observed normal to VG)
Fig. 22: Schlieren images of uncontrolled and VG
controlled jets at NPR 4.25
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a) Uncontrolled jet for NPR 2.5
b) VG controlled jet (observed along the VG)
c) VG controlled jet (observed normal to VG)
Fig. 23: Schlieren images of uncontrolled and VG
controlled jets at NPR 2.5
Figure 21, Figure 22 and Figure 23 present
Schlieren images capturing the stages of
underexpansion, correct expansion, and
overexpansion conditions corresponding to NPR 6,
4.25, and 2.5, respectively. The visualizations for
the axisymmetric uncontrolled free jet reveal the
presence of notable potential core length for all the
expansion conditions. These images confirm that in
the downstream, there is enhanced mixing. Notably,
vortex generators play a significant role in
improving mixing in the near field, evidenced by the
presence of only one prominent shock cell observed
in both directions. Besides, the introduction of
vortex generators contributes to the bifurcation of
the jet, responsible for enhanced mixing. These
visualizations affirm that vortex generators distort
the wave structure within the supersonic core. This
distortion in the core is crucial for effective mixing
and noise reduction, highlighting the efficacy of
vortex generators in enhancing jet mixing and
reducing aeroacoustic noise.
4 Conclusion
In the present study, both the experimental and the
numerical investigations have been conducted for a
thorough understanding of supersonic axisymmetric
jets. The computational validation has been done
incorporating the Rayleigh Pitot formula for the
uncontrolled jet, which has not been found in any
other validation studies, as per the authors’
understanding. The velocity vector contour from the
computational investigation reveals that there is
circulation near the jet shear layer which is
responsible for the entrainment of the surrounding
fluid. The eddy viscosity and the turbulent kinetic
energy are substantially higher at the jet shear later
in the near stream, causing a higher entrainment rate
at that location. At the far stream, since the jet is
spread over a significant length, eddy viscosity, and
the turbulent kinetic energy are diffused over the
entire region. In addition, the investigation is
extended to experimentally study the effect of
vortex generators on jet flow. It has been observed
that the mixing efficiency is substantially improved
due to the VG placed at the nozzle exit. Also, a
significant reduction in the jet core length was
observed, particularly in underexpanded conditions,
illustrating the pivotal role of VGs in enhancing
mixing efficiency under favorable pressure
gradients. The introduction of VG leads to the
formation of small-scale vortices which distort the
shock cell structure and wave patterns of the
supersonic core region. This essentially results in
efficient mixing which thereby reduces jet noise.
This research underscored the effectiveness of VGs
in amplifying the mixing of Mach 1.6 jets, holding
promise for improved jet performance in the realm
of aerospace engineering.
The future scope of this research involves
extending the computational analysis to account for
elevated jet temperatures, which is more suitable for
real-world conditions. This would enhance the
understanding of the jets’ behavior in diverse
thermal environments, contributing to broader
applications and valuable insights into the jet flow.
Nomenclature:
CD : Convergent divergent
NPR : Nozzle Pressure Ratio
Lc : Supersonic core length
Dh : Nozzle diameter
a : Nozzle radius
M : Mach number
AR : Aspect Ratio
γ : The ratio of specific heats.
M1 : Mach number upstream of the shock wave
De : Exit Diameter
P : Pitot Pressure
Po : Settling chamber pressure
VG : Vortex Generator
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Acknowledgment:
The authors express their gratitude to the Global
Academy of Technology, Bengaluru, for granting
access to the supersonic jet test facility to conduct
the experiments.
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
Paramesh T performed the experiments and wrote
the first draft. Tamal Jana supervised the study and
edited the manuscript. Mrinal Kaushik edited and
reviewed the final draft. The authors read and
approved the final manuscript.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
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