Ismail, Johanis John, Erlanda Augupta Pane,
Rahman Maulana, Reza Abdu Rahman,
Agri Suwandi
WSEAS TRANSACTIONS on FLUID MECHANICS
DOI: 10.37394/232013.2021.16.12
Experimental Evaluation for the Feasibility of Test Chamber in the
Open-Loop Wind Tunnel
ISMAIL1, JOHANIS JOHN2, ERLANDA AUGUPTA PANE1, RAHMAN MAULANA2, REZA
ABDU RAHMAN1, AGRI SUWANDI1
1
Department of Mechanical Engineering, Faculty of Engineering
Universitas Pancasila
Srengseng Sawah, Jagakarsa 12640, DKI Jakarta
INDONESIA
2
Student of Mechanical Engineering, Faculty of Engineering
Universitas Pancasila
Srengseng Sawah, Jagakarsa 12640, DKI Jakarta
INDONESIA
Abstract: - The test chamber in an open-loop wind tunnel is a critical part for aerodynamic experiment. The
study aims to assess the feasibility of the new design of test chamber for open–loop wind tunnel by studying the
fluid characteristic and the average pressure in the test chamber. The study is done by a series experimental test
for the test chamber. From experimental test, the downstream velocity in the test chamber is increased from 8.9
m/s to 12.72 m/s where the pressure gradient is ranging from 6.19 to 8.398 atm with the overall turbulence
intensity for the test chamber is 0.749%. According to the results, the designed open-loop wind tunnel is
acceptable to use for an aerodynamic test.
Key-Words: - test chamber, open-loop, wind tunnel, turbulence, intensity, turbulence model
Received: February 22, 2021. Revised: May 14, 2021. Accepted: May 22, 2021 Published: May 31, 2021.
space optimally, and this has been given in many
writings such as given by Watmuff, Morel, etc. [5]–
[8]. The main result expected from the construction
of a wind tunnel, especially in the test room, is the
creation of a uniform airflow in the wind tunnel, so
that the wind tunnel is said to be appropriateness
and readiness for use. Owen defines the measures
that affect the quality of air flow in this tool into 4
factors, namely fluid flow uniformities, swirl, low
frequency unsteadiness, and turbulence [9], while
Moonen divides them into two categories, namely
spatial uniformity and temporal steadiness of
velocity and pressure [10].
The wind tunnel measurement quality is determined
by the characteristic of the airflow and its
dimension. Good if it should be supported in
parallel direction and the movement of the fluid
energy. The airflow uniformity inside the test
chamber could be found from the wind direction and
speed without neglecting entropy mode disturbance,
geometry imperfections, and surface irregularities,
and other factors. The parallel fluid transfer shows
the uniformity of flow in the tunnel and determines
the existing turbulent flow at the same time [11].
1 Introduction
There is limited publication that discusses the test
chamber in wind tunnel. The main reasons are due
to statical symmetry of the test chamber, simple
design either using a circular, square or rectangular
cross section and also related with the fluid flow to
the test chamber which already set from the
contraction chamber [1]. In relation with the article
in aerodynamic test, study of turbulence, or wind
engineering, it shows the wind tunnel plays an
important role to provide data to analyze the
interaction between the sample and fluid flow.
Manan et.al tested a hybrid car model while Clarke
et.al. testing autonomous vehicles for aerodynamic
characteristics as part of the design phase [2], [3].
Other relevant studies are given in testing the
hydraulic transport of particles [4], as well as in
studying the interaction of magnetic fields on
electrical conductivity, such as liquid metals
(Mercury, Gallium, Sodium, etc.), which are
influenced by the Hall effect and the entropy
properties of matter due to heat that arises [4].
In most wind tunnel designs, the focus in wind
tunnel construction is how to design the contraction
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Ismail, Johanis John, Erlanda Augupta Pane,
Rahman Maulana, Reza Abdu Rahman,
Agri Suwandi
WSEAS TRANSACTIONS on FLUID MECHANICS
DOI: 10.37394/232013.2021.16.12
done earlier as the preliminary design process [19].
The operational cost is also considered in
constructing the open-circuit wind tunnels without
neglecting its ability to provide the quality of data
measurement, especially for the aerodynamic
testing. The wind tunnel was designed by the focus
on determining the size and geometry of the
required test chamber [20]–[22], although in other
studies, the initial stage of the wind tunnel design
begins with determining the dimensions of the
contraction space or contraction space ratio [8],
[21], [23]. The wind tunnel contraction chamber in
this research was designed by using the Logarithmic
Derivative Profile (LDP) method or the Boerger
model [7].
Vorticity mode disturbances, in general, are an
irregular and unpredictable fluctuation of
momentum related to the flow. The transfer of
energy characterizes vorticity; even the movements
are time-dependent. It began to emerge from the
beginning since the energy entering the settling
chamber [12]. Therefore, the turbulent flow at one
point is a correlation of the instantaneous velocity at
the three-speed components, which are u’, v’, and
w’. The relation between these three components
with the fluid flow layer tension can be written as
[13] (Eq. 1 and Eq. 2):
τxy = −ρu′ v ′
(1)
′
′
τxz = −ρu w
(2)
Where 𝜏 is the tension of each fluid layer, 𝜌 is the
fluid density, and the bar shows the average flow
resultants.
The chaotic and unpredictable movements of the
fluid in the channel become the subject of
investigation, and there were many studies have
revealed the turbulent management methods,
including when the flow enters the wind tunnel. An
example of the turbulent manipulation is by
adjusting the contraction space ratio from 6 to 9
[14], modify the shape and the dimensions of the
honeycomb cell and place it in an optimal position,
adding screen, combine honeycomb with the screen,
also increasing the honeycomb hydraulic diameter
as an element that influencing turbulent effect on
fluids [15]–[17].
Fig. 2: The wind tunnel in Mechanical Engineering
Laboratory
The main motivation of our study is to evaluate the
feasibility of a specially designed wind tunnel. The
test chamber design has many advantages such as
convenience in placing the test object, larger test
area, and low turbulence intensity through
simulation tests with an acceptable level of wind
speed uniformity [20]. Feasibility testing is an
important indicator for the wind tunnel so that a
feasibility test through the experiment must be
carried out [24]. It is hoped that the results of the
feasibility test can be used as an ideal indicator of
the wind turbine design we have developed.
y
x
2 Experimental Setup
U
The experimental testing was conducted at the
Mechanical Engineering Laboratory of Pancasila
University. The test focus on the wind tunnel that
has been built with its type and geometry follows
the predetermined design [20]. The cross-section is
the z-axis (length), x-axis (width) and y-axis
(height). The test chamber sizes 750 x 750 x 1,200
mm; while the diffuser has a length of 1356 mm, the
inlet nozzle has a diameter of 750 mm, and the
output nozzle forms a round exit to fit the blower.
The contraction chamber is square-formed with 250
mm fillet size and a 750 mm cross-section geometry
size, input 1,250 mm, length 900 mm. The
Fig. 1: Schematic diagram of the measurement point
in the wind tunnel
An open-loop subsonic wind tunnel was designed
and built for the aerodynamic test in this research.
This type was chosen due to its size that can be
easily adapted to the space of the Pancasila
University Mechanical Engineering Laboratory
(Fig. 2) and the ease of placement of the other
laboratory instruments [7], [18]. The simulation by
using Computational Fluid Dynamic (CFD) has
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Ismail, Johanis John, Erlanda Augupta Pane,
Rahman Maulana, Reza Abdu Rahman,
Agri Suwandi
WSEAS TRANSACTIONS on FLUID MECHANICS
DOI: 10.37394/232013.2021.16.12
chamber where the A cross-section is 200 mm after
entering the test section, the B cross-section is 600
mm from the test section and the C cross-section
within 200 mm from the output nozzle of the test
chamber (Fig. 4.a). At each cross-section, A, B, and
C are given the test points, namely P1, P2, P3, P4, P5,
P6, P7, P8, and P9, where the length between each
point is 280 mm and the closest point to the test
chamber wall is 92 mm (Fig 4.b).
The measurement with hot wire anemometry is
conducted at each measurement point under
standard technique measurement. The data
collection is taken ten times for each cross-section
and yielded 90 data. The measurements on the test
section are performed on the three cross-sections,
the entrance area (denoted as A), the midpoint area
(denoted as B), and when leaving the test section
(denoted as C). There are 9 points of free stream
velocity data gathering (Fig. 4.b), and velocity
acquisition at each position of each cross-section is
made every 10 seconds for 1 minute. After
obtaining data for each point, the average position
wind speed (A), (B), and (C) are also determined.
Fan speeds are adjusted to produce wind speeds in
the test chamber at 8 m/s, 10 m/s, and 12 m/s.
contraction and diffuser chamber are made of steel,
but the test chamber is made of acrylic with a
thickness of 3 mm. The 5.5 kW motor becomes the
axial fan drive that is placed after the diffuser. The
axial fan rotating motion is the source of air drive in
the wind tunnel, with six blades and 1,225 m in
diameter. The axial fan draws a certain amount of
air that can be regulated by using a frequency
converter. The fan maximum rotational speed is
2,900 rpm. By those capabilities, the suction blower
has the power to drive airflow into the tunnel with
the 7.635 m3/s average flow rate.
Fig. 3: Schematic diagram of the measurement point
in the wind tunnel
Fig. 3 shows the schematic of the experimental
arrangement. The location for determining the
measurement point refers to a generally developed
protocol for wind tunnel design [24], [25].
Measurement parameters that are important
indicators include the mean wind speed profiles and
the turbulence intensity profile. To obtain this value,
the placement of the measurement points needs to
be done in a specific manner.
The hot-wire anemometry sensor is placed in the
test chamber, where the test chamber is divided into
2.1 The calibration of hot-wire anemometry
The hot-wire anemometry of the U-shaped pitotstatic tube is calibrated by interpolating the results
of both measurements to ensure the measurement
value on the hot-wire is constant. The constant
voltage anemometry model is used in this
Fig. 4: (a) Cross section of sensor position at the test point (b) Hot-wire anemometry position
experiment. The constant voltage anemometry type
is used to overcome the influence of
electromagnetic
radiation
from
laboratory
three cross-section parts, namely A, B, and C
sections (Fig. 4). The space between each crosssection measured from the input nozzle of the test
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Ismail, Johanis John, Erlanda Augupta Pane,
Rahman Maulana, Reza Abdu Rahman,
Agri Suwandi
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DOI: 10.37394/232013.2021.16.12
fluctuation velocity 𝑢′ is obtained from the
difference spontaneous velocity of the fluid with the
average velocity is 𝑢̅.
equipment. The hot-wire anemometry and pitotstatic tubes are placed at predetermined
measurement points in the wind tunnel test chamber
alternately. The results of the reading of these two
tools are interpolated in a velocity curve against the
space. The measurement was applied ten times at P1,
P3, P5, P7, and P9. This measurement is also
calibrated in all three sections (A, B, and C). The
wind velocity reference is 1 m/s. The velocity value
of the pitot-static tube is determined by the
difference in pressure that appears on the nozzle.
The pressure difference will be converted to
1
velocity with ∆𝑃 = 2 𝜌𝑈 2 , where ∆𝑃 = 𝑃𝑛𝑜𝑧𝑧𝑙𝑒 −
𝑃𝑎𝑡𝑚 ; P is pressure in atm, U is the freestream
velocity of the fluid in m/s, where the air pressure
Patm is 101,325 Pa.
̅̅̅̅̅
√u
′2
TI = ̅ . 100%
(3)
u
The test velocity in the chamber is 8 m/s, 10 m/s,
and 12 m/s. The Bernoulli method calculation is
needed to get the preliminary velocity to come into
the wind tunnel. From the calculation, the values are
around 4 m/s, 5 m/s, and 6 m/s. The probing results
show the average stream in the test chamber is 8.9
m/s from the velocity of 4 m/s, 10.91 m/s from 5
m/s, and finally for 6 m/s is obtained 12.72 m/s.
Fig. 5 shows the comparison between the
experimental data and simulation results from
previous research [19] at the test point with various
reference velocities are 4 m/s, 5 m/s, and 6 m/s.
even though the airstream velocity in the experiment
shows a lower value than the CFD simulation value.
Their velocity gradient curve has a same trend are
ranging from 0.067 to 0.1, except for ū = 5 m/s, both
have a same curve gradient which is 0.067. At
specific points, the two downstream closed to each
other like P2 and P8 with 4 m/s, then P5 and P7 at 5
m/s. At a velocity test of 4 m/s, the difference in the
average airflow in the test chamber between the
results of the experiment with the simulation is
equal to 0.43 m/s, 5 m/s produced an average
velocity of 0.38 m/s, while at 6 m/s is obtained the
difference between the experimental results of the
simulation of 0.57 m/s. Thus, the average difference
between the results of the simulations with
experiments is 0.45 m/s.
2.2 Honeycomb and screen
The combination of honeycomb and the screen in
the contraction chamber is intended to prevent the
enlargement of the air velocity to the sideways
lateral velocity. The magnitude of sideways flow
velocity is related to the non-uniformities of the
mean flow and persists for the significant
downstream distance, and it contributes to the
formation of turbulence in the flow following terms
𝑢𝑣
̅̅̅̅ 𝜕𝑈⁄𝜕𝑦 of the turbulence energy equation. The
honeycomb of the cells has made from metal pipes
with length (l) 1,200 mm, hydraulic diameter (DH) is
100 mm, and pipe thickness (δ) is 0.5 mm. The
displacement thickness of the boundary layer inside
the cell can be determined by Sg =1 - (F1/F0) =
0.015, with F0 is the total area of the contraction
chamber channel in which the honeycomb is
mounted, and Fl is the area of the cross-section
covered by the honeycomb. Two layers of the
screen (stainless with mesh 7/16 in.) are placed after
the honeycomb. The first screen is placed 10 cm
after the honeycomb and separated 5 cm with the
next screen.
3 Result and Discussion
In this experiment, the measured freestream is the
velocity in the direction of the mean flow. The mean
direction of flow in this experiment is parallel with
the z-axis or parallel in line with the tunnel length
(Fig. 3 & Fig. 4). The air velocity varies in each
field and each test station, and its value is taken at
the predetermined test point. The turbulence
intensity is determined by Eq. 3 as the square root of
the average velocity at the average downstream,
where the velocity component with the
perpendicular gradient to the average flows. The
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Fig. 4: The comparison of the air flow velocity in
experiment and simulation from [19]
The turbulent intensity from experiment test at the
measurement points show similar gradients with the
simulation result, though the result from simulation
is slightly lower than the experimental results (Fig.
6) where the turbulence intensity that obtained from
experiments are 0.693%, 0.944% and 0.609% at
various mean velocities are 8.9 m/s, 10.91 m/s and
12.72 m/s, respectively. The turbulence intensity
level increases when the airflow passes through
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Ismail, Johanis John, Erlanda Augupta Pane,
Rahman Maulana, Reza Abdu Rahman,
Agri Suwandi
WSEAS TRANSACTIONS on FLUID MECHANICS
DOI: 10.37394/232013.2021.16.12
section B (Fig. 4a) but decreases when it crosses
section C (Fig. 4a). This condition is also given to
simulation data. It needs to consider that during the
experiment, there is a hot-wire anemometry in the
test chamber, which may affect the turbulence
fluctuations. Besides, the value of turbulence
intensity at point P5 decreases compared to the other
points, especially from the numerical results that
consistently down. It is due to P5 is the centerline
point of crosswise A, B, and C.
Fig. 7: The relation between turbulence intensity
and mean pressure
Fig. 6: The average of Turbulence Intensity (TI)
Fig. 7 shows the correlation between the pressure in
the test chamber and turbulence intensity. Several
relevant studies are summarized in Table 1 and help
make a better conclusion regarding the experiment
results. Youngjin Seo et al. [16] conclude that an
increase in mean velocities would be proportional to
the intensity of turbulence. Maria et al. [7] find the
turbulence intensity tends to be constant even
though the freestream velocity increase. The
experimental test in this study shows different
results where the turbulence intensity varies with the
mean velocity and tends to decreases when the
downstream rises.
Tabel 1. The comparison of turbulent intensity from
various research
Turbulence Intensity average (%)
̅
𝒖
(m/s)
Seo, Y.,
et al.
[16]
2.557
3.732
4.639
Maria
et al.[7]
Ghorbanian
[26]
1.4
1.8
2.7
8.9
0.69*
10.91
12.72
80.00
0.302
*
The average turbulent intensity for all-speed
Ismail
et.al.
0.693
0.944
0.609
Maria et. al. and Ghorbanian gave the average
turbulence intensity value measured in the wind
tunnel contraction chamber, in which Youngjin Seo
et. al. displays all turbulence intensities at each flow
velocity reference in the wind tunnel contraction
space. As a comparison, the value of turbulence
intensity by Maria as the average value is 0.69,
whereas if the turbulence intensity by Ismail et.al.
You will get the average value is 0.75, and if wepay
attention to the average turbulence intensity value
from Younjin Seo et.al. then the average result will
be 3.64. The Ghorbanian gives a turbulence
intensity value of 0.302 at a reference speed of 80
m/s.
Although the turbulence intensity values from
several studies above are obtained from
measurements in different parts of the wind tunnel,
by reviewing the value of the contraction ratio of the
four studies above, namely Ghorbanian, it gives a
contraction ratio CR = 7, the CR Maria et.al. are
ranging from 6.25 - 9.5. Then for CR Youngjin Seo
et.al. is 10, while Ismail et.al. is 2.4. The ideal
contraction space ratio values as given by James H.
Bell and Mehta are in the range 6 - 12 [1].
The three previous articles provide that the CR value
is within the range required in general, while the CR
from Ismail et.al. is below the tolerance interval it
should be. This case can be understood by
reviewing the different approach given by Ismail
et.al., where Ismail et.al. focuses on the design and
construction of the test room first, the other space
adjusts later [20]. This method results in limited
other spatial dimensions and the ratio of the space
for contraction to be outside the required space ratio
range. However, these conditions can still provide a
value for the intensity of turbulence in a proper test
space.
4 Conclusion
A series of experimental studies were carried out to
evaluate the feasibility of the overall test chamber of
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DOI: 10.37394/232013.2021.16.12
a subsonic open-loop wind tunnel, and the results
were compared with previous studies of relevant
researches. This study has provided another
alternative in designing and constructing wind
tunnels due to limited space, namely in the form of a
way to design and manufacture parts of the test
space first, then the other dimensions of the room
are adjusted to the rest of the room.
The results of the experimental data show that the
average level of turbulence intensity in the subsonic
wind tunnel test chamber is 0.749%, which
considerably feasible to be used for the aerodynamic
test. Regardless of the geometry of the test chamber
and its surface character, the various mean reference
velocities in the test chamber provide the stability of
the current and prove that the airflow typical inside
the test chamber of tunnel is uniform.
[9]
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Rahman Maulana, Reza Abdu Rahman,
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DOI: 10.37394/232013.2021.16.12
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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
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Contribution of individual authors to
the creation of a scientific article
(ghostwriting policy)
Ismail: Conceptualization and Methodology.
Johanis John: Formal analysis.
Erlanda Augupta Pane: Software.
Rahman Maulana: Investigation.
Reza Abdu Rahman: Writing – Review & Editing.
Agri Suwandi: Writing – Original Draft.
Sources of funding for research
presented in a scientific article or
scientific article itself
The authors were grateful to The Ministry of
Research, Technology, and Higher Education of the
Republic of Indonesia as being the funder of
research that registered in letter No.3/E/KPT/2018.
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