Numerical Study of Bubble Column Water-Air System
by the VOF Method
GUESSAB AHMED
Department of Mechanical Engineering,
National Polytechnic School of Oran (Maurice Audin), Mechanical Manufacturing Technology,
Research Laboratory (LaRTFM-ENPO-MA),
Postbox 1523 EL-Mnaouer, Essenia Oran,
ALGERIA
Abstract: This paper aims to present a comprehensive study of the dynamics of a bubble using the Volume of
Fluid (VOF) model in Fluent software. The simulation of two-phase flows is carried out by calculating the
terminal velocity, bubble flow contours at different column heights, and the evolution of bubble circularity and
Reynolds number at different times. The calculation was carried out on an air bubble with a diameter equal to
10 mm and zero introduction velocity by modifying the simulation parameters, such as the surface tension, to
study their influence on the deformation of the bubble. This study will present four different shape regimes,
which are obtained by varying the Bo (Bond number) and Mo (Morton number) values within the
corresponding ranges of 1 < Bo < 103 and 5×10-8 < Mo < 102. In addition, simulations are performed using
large density and viscosity ratios of 1000 and 100, respectively. The results are comparable with great precision
to the numerical simulation and experimental data.
Key-Words: - Air bubble, VOF, terminal velocity, Fluent, Bond number, Morton number.
Received: December 27, 2022. Revised: October 30, 2023. Accepted: November 26, 2023. Published: December 29, 2023.
1 Introduction
Bubble columns are used for different purposes
because the process is simple to operate, has perfect
mixing, has no moving parts and high mass transfer
rates are achievable, along with the capability to
accommodate a wide range of residence times by
manipulating the gas and liquid flow rates, [1].
They are of particular interest for research. Despite
the widespread applications of bubble columns, the
interactions between hydrodynamics, mass transfer
mechanisms, chemical reactions, and yield and
product quality are to date poorly understood. Two-
phase flows are ubiquitous in nature and industrial
applications such as bioreactors, chemical industry,
petrochemical, biochemical, metallurgical
processes, solar energy, biogas energy nuclear
engineering, etc. The physical mechanisms involved
in these flows are fundamentally dependent on the
separation surfaces between the different phases,
which are called ''interfaces''. A moving bubble in a
liquid medium deforms, which is of great interest.
The problem of the rise of a bubble in a liquid at rest
of infinite extension is complex because it involves
very rich physics and coupled mechanisms.
The dynamics of a single bubble rising due to
buoyancy in an infinite liquid pool have been the
focus of many experimental, [2], [3], [4] and
numerical studies, [5], [6], [7]. We can cite the
terminal velocity and shape of the bubble, the
trajectory of the bubble and its stability, and the
deformations of the bubble during the ascent. In its
simplest configuration, a bubble column consists of
a vertically arranged cylindrical column filled with
liquid. The gas flow rate is introduced at the bottom
of the column through a gas distributor. The gas is
supplied in the form of bubbles to either a liquid
phase or a liquid-solid suspension. In this case, the
solid particle size (typically a catalyst) ranges from
5 to 100 μm. These three-phase reactors are referred
to as slurry bubble columns.
The liquid flow rate may be fed co-currently or
counter-currently to the rising bubbles, or it may be
zero. In the latter case, the column operates in batch
condition. Bubble columns offer a significant
number of advantages: excellent heat and mass
transfer between the phases, low operating and
maintenance costs due to the absence of moving
parts, solids can be handled without any erosion or
plugging problems, slow reactions can be carried
out due to the high liquid residence time reasonable
control of temperature when strongly exothermic
reactions take place. However, the back-mixing of
the liquid phase (the result of buoyancy-driven
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recirculation) is a limitation for bubble columns:
excessive back-mixing can limit the conversion
efficiency. The reactor may be equipped with
internals, baffles, or sieve plates, to overcome the
back-mixing problem with an inevitable
modification in the fluid dynamics. Bubble columns
are extensively used in many industrial applications.
They are of considerable interest in chemical
processes involving reactions like oxidation,
chlorination, alkylating, polymerization, and
hydrogenation, as well as in the production of
synthetic fuels via a gas conversion process
(Fischer-Tropic process) in biochemical processes
such as fermentation and biological wastewater
treatment.
This study aims to simulate the formation of
various air bubbles in stagnant water within a
vertical column with a constant section. The study's
findings could help us comprehend the actual
physical phenomena and water column design.
Lastly, it suggests novel standards for selecting
mesh and geometry combinations that accurately
depict the actual phenomena.
2 Geometry and Flow Configuration
The initial configuration for this numerical study
corresponds to the study of the rise of an air bubble
in the stagnant water. In this work, the single bubble
diameter of D = 10 mm centred at (x, y) =
(0.0056, 0) is studied. The dimensions of the
column are a height of 100 mm and a width of 40
mm, as presented in Figure 1. The wall boundary
condition is used at the top and bottom boundaries
and for the two lateral borders. This bubble at an
initial speed of zero and the ratios of density and
viscosity are fixed. In our simulation, we assume
that there is no phase change and that the fluids are
Newtonian. In our work with these conditions, we
can consider that the density and the viscosity of the
gas (air) contained in the bubble have negligible
effects compared to those of the surrounding liquid
(water). The bubble is subject only to gravitational
forces. The flow is controlled by two dimensionless
numbers: the Bond number (Bo =10), and the
Morton number (Mo = 5×10-6). The parameters of
the numerical simulation are chosen to obtain the
same Bond and Morton number values as in some of
the reference simulation, [8] and experiments, [9].
In this work, the primary phase is water (liquid) and
the secondary phase is air (gas). The main physical
properties are used to observe and describe the
matter of the single air and water is tabulated in
Table 1.
Fig. 1: Schematic of column geometry with Initial
configuration of bubble
Table 1. Simulation parameters, [8]
Time scale
g/D
Nature of simulation
Regime
Unsteady time step
Density of the liquid, l
Air bubble density, g
Liquid dyn. Viscosity, l
Air Dyn. viscosity, g
Interracial tension,
Gravity, g
Bubble diameter, D
Morton's number, Mo
34 /
ll
gMo
Number of Bond, Bo
/gDBo 2
l
Density ratio
gl
/
Viscosity ratio
gl
/
3 Governing Equations
If we assume that the movement of each of the
phases that make up the flow obeys the
incompressible Navier-Stokes equations, it is
possible to show that, under certain hypotheses,
[10], the evolution of two-phase mixing can be
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described on the à scale by the system of Navier-
Stokes equations:
n
VVgPVV
t
Vt
.
..
11
..
(1)
0. V
(2)
Where P is the pressure, V is the velocity, g is the
gravity, is the interfacial tension,
and µ denoting
for example the mass volume and the local dynamic
viscosity of the mixture. In this bubble
simulation,
n.
represents the volumetric
forces at the interface resulting from the surface
tension force per unit volume. Where the
coefficient of surface tension and n is the
surface normal which is estimated from the
gradient of volume fraction,
n.
is the local
surface curvature calculated as follows:
nn
n
n
n
n.
1
ˆ
.
(3)
To arrive at equation (1), it is in particular
necessary (a) to assume the absence of phase change
and (b) to neglect the local deviations between the
point values of the different quantities. The last
equation constituting the model is:
0..
CV
t
C
(4)
The flow of two fluids is represented by a model
with a single fluid that remains incompressible but,
whose density and physical properties vary strongly
when crossing the interfaces. The density and
viscosity of the fluid are expressed, as a function of
the properties of the two fluids (gas/liquid) and of
the volume fraction C of one of the phases, as
follows:
21 1.
CC
(5)
21 1.
CC
(6)
3.1 The VOF Method
The CFD Fluent code has a variety of models
available to incorporate multiphase flow.
The FLUENT, [11], code was utilized to solve the
transport equations for two-phase flow, and the
liquid-gas interface was monitored through the
Volume of Fluid (VOF) method. The VOF method
uses a discrete function
),,( tyxfC
that represents
the volume fraction of one of the fluids in each
control volume. For
1C
and
0C
, the cell
represents the vapor region (in bubble) and the
water region (in liquid fluid), respectively. And for
10 C
, the cell represents the interface region.
The free surface of the bubble exists in the interface
region. In this study, the bubble is defined as an
aggregate composed of cells that have a volume
fraction in the range of
5.0C
. Therefore, the
bubble volume is calculated by the summation of
the vapor volume in each cell where the volume
fraction is in the range of. And bubble surface area
is calculated using the area of iso-surface which has
a constant volume fraction. Figure 2 shows the
governing equations in each cell, governing
equations (Eq. 1 and Eq. 4) are solved for only gas
and liquid phases, respectively. However, in the
interface cell, governing equations are solved for the
mixture phase assumed as 3rd phase.
Fig. 2: Governing equation in each cell
The flow of the two fluids is represented by a
model with a single fluid that remains
incompressible, but whose density and physical
properties vary strongly when crossing the
interfaces. In various applications of multiphase
flows, a fundamental understanding of the physics
of the case of a bubble rising and deforming in a
quiescent viscous liquid is essential. Herein, the
bubble shapes tend to vary greatly, depending on
where the bubbles lie within the different flow
regimes. The bubble-rising behaviors can usually be
correlated against four non-dimensional parameters
such as the Morton number which is defined as:
Bond number:
2
Dg
Bo
(7)
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Morton number:
23
4
l
l
g
Mo

(8)
Where,
gl
Bo is the ratio of the body forces
(effective gravitational forces) and the surface
tension, but it could also be considered as a
dimensionless size value of the bubble. Mo
describes the properties of the surrounding fluid,
mainly focusing on viscosity and surface tension.
The Froud number is defined as:
0
2
0
gd
U
Fr
(9)
And the Reynolds number is defined as:
l
lUD
Re
(10)
Where, D and d0, represent the diameter of the
bubble and orifice diameter, respectively. The Bond
number represents the contribution of the effects of
surface tension and buoyancy, whereas the Morton
number, which is sometimes referred to as the
property group, measures the relative importance of
viscosity and surface tension forces. Following a
similar definition, the Reynolds number signifies the
contribution between the inertia and viscous effects.
3.2 Numerical Method
Before being able to launch a numerical simulation,
it is necessary to carry out several steps, including
the construction of the geometry of the system and
its spatial discretization (mesh), the choice of
adequate boundary conditions, and the initial
conditions. A two-dimensional uniformly
structured mesh is developed using GAMBIT, [12].
The mesh is shown in Figure 3. The domain
presented in this figure is meshed into quad
elements. The boundary conditions are symmetry on
the axis (Ox) and walls on the horizontal and
vertical boundaries (Figure 1). The time step was set
to 10-4s. The initial position of the bubble is shown
in Figure 3.
The numerical simulation of a dynamic bubble is
carried out using Fluent. The geometries used are of
the two-dimensional asymmetric type. The
governing equations are solved using an
incompressible approach (pressure-based solver) in
the simulations for a water-air two-phase flow
system. Water and air were selected as the primary
and secondary phases, respectively. The simulations
are carried out in the bubbly laminar unsteady
regime. The finite volume method with an implicit
scheme for iterations was used to solve the
continuity, momentum, and volume fraction
equations. The first-order scheme (upwind) was
applied to the discretization of the flow equations
(Navier-Stokes equations) and the volume fraction.
The pressure-velocity coupling was carried out
using the implicit scheme with the SIMPLE method
and the discretization of the pressure using the
Standard scheme. The convergence criterion is set to
10- 4 for all equations. For the unsteady case, it is
necessary to choose and adapt the time step for each
case of the simulation.
The standard Current-Friedrich-Lewy (CFL)
number should ideally be kept below 0.25. Its value
is reported in the fluent window. This Currant
number is roughly the number of cells that
converted information travels at the speed of the
bubble in one time step:
Dx
DttV
CFL ..
(11)
Thus, it is from the terminal velocity noted in
Figures 11, Figure 12, Figure 13, and Figure 14, and
in order to ensure a CFL= 0.25 the time step
proposed in Table 3 was calculated.
Fig. 3: A view of the bubble mesh in the middle of
the column and around the bubble
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4 Results and Discussions
The results of air bubbles rising in water will be
examined here and compared to numerical, [8] and
experimental data, [9]. To be able to study the
temporal evolution of the bubble speed in the
vertical direction along the axis (Ox), it is necessary
to calculate for each time step (t), the average axial
speed (V (t): barycentric speed of the bubble)
defined as:
dt,xC
dt,xVt,xC
tV
(12)
In practice, we determine the Bond number (Bo)
and the Morton number (Mo) and calculate the
Reynolds number Re (t) using the simulation results.
l
lDtV
t
Re
(13)
The first step is to determine the minimum
number of calculation cells needed per initial bubble
diameter to accurately describe its dynamics.
To quantify this number, a bubble rise simulation is
made for different spatial resolutions of grid1
(Δx = Δy = d/50), grid2 (Δx = Δy = d/70) and grid3
(Δx = Δy = d/90). The Reynolds number is
compared for the different spatial resolutions in
Figure 4. The terminal velocity converges to a
single curve as the resolution increases. It has been
observed that the terminal velocity of the bubble
obtained from x = d/50 is only 5% lower than that
obtained from x = d/90.
In addition, there is a good correspondence
between the numerical simulation and the
experimental one, [8] and [9], the comparison of the
temporal evolution of the speed of the bubble that
we obtain shows a great resemblance. The results
indicate that 50 computational cells per initial
bubble diameter is an acceptable lower limit for
accurately describing bubble dynamics in the regime
considered here. In terms of terminal velocity, we
obtain a Reynolds number of 96.5 very close to that
found by, [8] (Re = 100) and Re = 98.53 by
simulation, [9].
The deformation of the bubble in the fluid is
determined by its acceleration. It appears when
observing Figure 3 that the speed increases and
reaches a maximum to return to its asymptotic
speed, and we then notice that the speed has
increased and will eventually stabilize. In other
words, the bubble returns to its constant shape once
the speed is stabilized.
Fig. 4: Reynolds number (mean velocity) profile in
different meshes
That is to say, the bubble recovers its constant
shape when the speed is stabilized. After having
obtained the correct settings under Fluent, we will
now proceed to the analysis of the results of the
simulation. The procedure we use is similar to that
of an experimenter. We therefore release a spherical
air bubble with a diameter of 0.01 m and zero initial
velocity in the water at rest. Figure 5a shows the
evolution of the shape of the bubble over
time. Under the effect of Archimedes' force, the
bubble begins to rise and deform before acquiring
its terminal speed and shape. The terminal shape we
end up with is very similar to that obtained by, [9],
by simulation (Figure 5b). In the first stage, the
bubble widens at the back and the curvature
becomes negative in this region. Then, still at the
back, the curvature decreases, vanishes, and then
becomes positive again. In the third stage, the part
located near the intersection of the base and the
upper dome rises. The bubble then changes from a
spherical cap shape to a quasi-ellipsoidal shape
close to front-back symmetry. In a last time, the
front part flattens while the rear part hardly evolves
anymore. This same evolution of the shape of the air
bubble is observed by Blanco. It can be said that the
back of the air bubble deforms more than the front
because gravity and capillary forces combine. After
having observed and compared the evaluation of the
bubble, we can take an interest in its circularity. Its
evolution is then traced (Figure 6). We then observe
a sudden drop in the circularity of the bubble, which
deforms during its ascent and then ends up
stabilizing and reaching a constant value. We can
therefore think that this reduction in circularity is
caused by the acceleration of the bubble in the
water, which deforms it.
To confirm this hypothesis, we then plot the rate
of ascent of the bubble as a function of time.
0 2 4 6 8 10
0
10
20
30
40
50
60
70
80
90
100
110
Re
t/(D/g)0.5
grid 1
grid 2
grid 3
Exp.[8]
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Vectors may be used to illustrate how the velocity
field impacts the bubble, as seen in Figure 7. The
arrows represent the velocity field of the flow,
which is colored according to the vorticity of the
flow. By observing this figure, we see that the flow
around the air bubble creates an acceleration of the
fluid at the lateral ends, causing the creation of a
vortex at the interface. These vortices then deform
the bubble, thus creating a drop in the circularity of
the bubble.
(a) (b)
Fig. 5: A two-dimensional air bubble rising in a
low-viscosity liquid (
gl
/
=103,
gl
/
=102,
Mo=10, Bo=5×10-6). (a) Simulation,
(b) Experiments, [9].
Fig. 6: Evolution of bubble circularity (case: Bo=10,
Mo=5×10-6, =1.0)
Fig. 7: Representation of the axial velocity field
around the bubble in red (time = 0.032 s)
One can also observe the evolution of the
streamlines in a frame linked to the air bubble in
Figure 8. The shape of the bubble not only
influences its terminal ascent velocity but also plays
an important role in determining the rate of heat and
mass transfer. We notice in Figure 5 that, following
their moving interface, the bubbles deform when
they undergo external flow fields until there is
equilibrium between the normal and shear stresses
at the interface. Generally speaking, the shapes
observed during the rise of the air bubble in the
following figure can be divided mainly into two
categories. At the beginning of the evolution, the
shape of the bubble is spherical, and for a certain
moment, the air bubble deforms and takes on an
ellipsoidal form. The shape of the bubble is
flattened with a convex interface (seen from the
inside). We can conclude that the forces of surface
tension and viscosity, which are dominant in this
research configuration, are responsible for the shape
change of the bubble. The interface of the bubble
can be considered rigid; it plays the role of a
membrane, and the movement of the bubble is
purely vertical. This part deals with the case of
bubbles deforming a lot but evolving at
Reynolds numbers of the order of ten and the
case of bubbles that deform little but for which
the Reynolds number is of the order of a
hundred. To compare our results with those of, [8],
and, [13], we conducted a series of simulations in a
range of Morton numbers (5×10-8, 5×10-6, 10, and
104) and a Bond number range (1, 10, 100 and
1000). This corresponds a posterior to a Reynolds
number range Re = 10 and 100. Now let's look at
how the surface tension of the water/air fluid affects
the air bubble's rising dynamics.
0,0 0,5 1,0 1,5 2,0 2,5 3,0
0,84
0,86
0,88
0,90
0,92
0,94
0,96
0,98
1,00
La circularité de la bulle
Temps (s)
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Fig. 8: The vertical axial velocity field of the bubble
refers to a frame moving with the bubble
To do this, we fix l/g and l/g (1000, 100),
respectively, and we choose four pairs of values
(Bo, Mo). Table 2 shows the combinations to
choose among the values of viscosity, surface
tension, and the corresponding time step for the
simulation. We note that the validation of our
numerical simulation is based on the shape map
developed by, [13]. These shape maps show the
shape of bubbles for most conditions of practical
interest and are based on dimensionless numbers
(Re, Mo, and Bo); Figure 9.
Table 2. Parameters for the simulation
(All in S.I. units)
case
1
2
3
4
l
0.04729
0.0266
0.1778
0.05623
1
0.1
0.01
0.001
t
1×10-4
1×10-4
2×10-4
5×10-4
Mo
5×10-8
5×10-6
10
102
Bo
1
10
102
103
Fig. 9: Bubble regimes, according to, [13].
The four series of Figures 9a, 9b, 9c, and 9d make
it possible to appreciate the decisive influence of the
tension of the surface between the two fluids (water
and air) on the rise time of the bubble. The first
remark that can be drawn from these figures is that a
low surface tension '' allows a greater deformation
of the bubbles. The shape of the bubble not only
influences its terminal ascent velocity but also plays
an important role in determining the rates of heat
and mass transfer. According to these figures, the
bubbles deform when they experience external flow
fields until there is equilibrium between the normal
stress and the shear stress at the interface. Bubble
shapes are limited in number due to interfacial
forces. The observed forms of rising bubbles in our
numerical simulation using the VOF method fall
primarily into three groups.
Spherical bubbles: at stationary Reynolds
number Re = 100 and surface tension
= 1.0 N/m2. Note that surface tension forces
and viscous forces govern the shape of the
bubbles, which deviate very little from the
spherical shape; see the bubble shape of our
simulation in Figure 10a and the experimental in
Figure 9.
Ellipsoidal Bubble (Ellipsoidal): As shown in
Figure 10b, ellipsoidal bubbles are defined as
bubbles that have flattened and a convex
interface encircling the entire surface. These
bubbles undergo periodic expansion or rotational
movement.
The spherical cap bubble or ellipsoidal cap
(Dimpled ellipsoidal cap): bubbles (Figure 10c);
these bubbles look like segments cut from the
spheres by both sides of the bubble.
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For the case =1 [N/m2] (Figure 10d), the rising
bubble in a Newtonian fluid behaves like a rigid
sphere and follows Stokes' law in its motion.
The terminal velocities of ascent for the four
bubbles as a function of time are shown in Figure
11, Figure 12, Figure 13 and Figure 14. These
figures show that the Reynolds number of the
bubble plays an important role, i.e., with an increase
in these values, the bubble will change from one
shape to another. The time course of the Reynolds
number of the four bubbles in cases 1 to 4 shown in
Figure 11, Figure 12, Figure 13 and Figure 14 is
quite different because the repulsive irrotational
effect acts in region t/(D/g)0.5 < 3.
Table 3 compares the Reynolds number in the
stationary case of the air bubble rising in a water
column between our simulation study and that of,
[8].
=0.1
[N.m-2]
(a)
=0.01
[N.m-2]
(b)
=0.001
[N/m2]
(c)
=1.0
[N.m-2]
(d)
Fig. 10: Simulation results of the single bubble with
a 10 mm diameter rising at four different
configurations ( = 0.1, 10-2, 10-3, and 1.0 [N.m-2])
Table 3. Comparison of Reynolds number with the
reference
case
(a)
(b)
(c)
(d)
=
0.1
0.01
0.001
1
Simulation
96.55
94.34
9.22
96.56
Exp. [8]
98.53
95.61
9.56
98.64
Fig. 11: Time history of the Reynolds number of
bubbles (case: Bo=10 and Mo=5×10-6)
Fig. 12: Time history of the Reynolds number of
bubbles (case: Bo=100 and Mo=10)
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Fig. 13: Time history of the Reynolds number of the
bubble (case: Bo=103 and Mo=104)
Fig. 14: Time history of the Reynolds number of the
bubble (case: Bo=1 and Mo=5×10-8)
5 Conclusion
A CFD simulation of the hydrodynamics of
a gas-liquid bubble column has been simulated
using Fluent by employing the VOF approach. We
can conclude that in a viscous fluid (water), the
bubbles go through well-known shapes: spherical
shape, ellipsoid of revolution crushed vertically,
flattening of the rear part of the bubble until
obtaining, for larger volumes, a helmet-shaped
spherical shape. This helmet or spherical cap
flattens as the volume of the bubble increases. In the
fluid Newtonian, whatever their size, the bubbles do
not have a tail but present, from a certain volume,
the shape of a parachute like a depression at the
back of the bubble.
Our numerical validation was concluded for a
series of rising bubbles, in a stagnant fluid. We
obtained a good agreement with the experimental
data available from, [9]. The objectives of this study
are:
Integrating the VOF approach with a
computation code (FLUENT) and evaluating
the output CFD scheme's performance against
several experimental and numerical examples;
Use our algorithm to create a new computer
model that simulates the VOF method;
A column with a constant vertical section can
be used to simulate the rising dynamics of a
bubble. For this, a variety of validations of the
resulting model will then be carried out in the
form of test cases;
Work with the UDF to change an important
commercial code to meet our study goals.
This work remains a modest contribution to the
field of understanding phenomena and the
characterization of the physical parameters linked to
the bubble. For our future research, we can cite
some perspectives that it would be interesting to
develop, among which we cite some:
1. The impact of temperature on the bubble's
dynamics;
2. An examination of the necessary development
of the heat transfer model, which takes into
account the microlayer region underneath the
bubble
3. Examining the three-dimensional movement of
bubbles using fluid code.
Acknowledgements:
The author would like to thank the anonymous
reviewers and the editor for their insightful
suggestions.
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Wei, and Linlin Wang, Experimental Study
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Characteristics of Coaxial Bubble in
Petroleum-Based Liquids, ACS Omega, Vol.8,
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[3] Q. Feng, Q. Wang and C.Y. Zhao,
Experimental Study on Three-Dimensional
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DOI: 10.37394/232013.2023.18.22
Guessab Ahmed
E-ISSN: 2224-347X
241
Volume 18, 2023
Bubble Rising Behaviours by Virtual Stereo
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
GUESSAB Ahmed carried out the simulation,
interpretation (discussion), and verification of
results.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
Research funded by the Mechanical Manufacturing
Technology Research Laboratory
(LaRTFM-ENPO-MA)
Conflict of Interest
The author declared no potential conflicts of interest
with respect to the research, authorship, and/or
publication of this article.
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
US
WSEAS TRANSACTIONS on FLUID MECHANICS
DOI: 10.37394/232013.2023.18.22
Guessab Ahmed
E-ISSN: 2224-347X
242
Volume 18, 2023