Experimental Study on the Turbulent Flow Field inside Hydrocyclone
with Particle Image Velocimetry
Xu Duan
*
TSI Instrument (Beijing) Co., Ltd, Beijing, China
Keywords: Particle Image Velocimetry (PIV), Turbulent flow field, Axial velocity, Radial velocity, Secondary vortexes
Abstract: The hydrocyclone separation is highly related to its flow field. The investigation of the turbulent flow
characteristics helps the optimization of the hydrocyclone structure design. In this article, the turbulent flow
field in a 50mm hydrocyclone was investigated with Particle Image Velocimetry. The cylinder section and
part of the cone section are measured simultaneously. Both the axial and radial velocity components peak in
the central area of the hydrocyclone. But for radial velocity, it varies between inward and outward from top
to bottom, not exclusively inward in the cone section. The secondary vortexes exist in the transition area of
inner spiral flow and outer spiral flow, where higher vorticity is located. Turbulent intensity and Reynolds
shear stress is calculated from the two velocity components with time series. It has been made clear that the
central area is where the turbulence is strongest. And the maximum radial turbulence intensity exists in the
vicinity of vortex finder tip, while maximum axial turbulence intensity exists in the lower cone section with
transition of flow. Results show the averaged velocity field is smoother and more convenient for
comprehending while the instantaneous velocity field is less distorted by the averaging process.
1 INTRODUCTION
Hydrocyclone has been widely used for its
simplicity in manufacturing and efficiency in
long-term running. But the flow field, which
explains how the separation is working, is more
complicated to make clear.
The difficulties should be attributed to the
turbulent and three-dimensional characteristics.
Previous works mostly relied on Laser Doppler
Velocimetry (LDV) or Phase Doppler Particle
Analyzer (PDPA) measurements (Bergstrom &
Vomhoff, 2007), which only measured the two or
three components of velocity in a single point. Since
the measurement of points is not conducted
simultaneously, it becomes problematic to discuss
the instantaneous velocity profile. The PDPA results
were sampled by hundreds or even thousands of
single-point data of velocity components in one
interval of time. Most previous works on
hydrocyclonic flow field measurements with PDPA
were displaying averaged velocity profile (Yang et
al., 2011). Of course, some researchers did present
some turbulence information, such as RMS value
(Zhang et al., 2009). But data is restricted in a
certain vertical position and it’s impossible to have
an overall view on the hydrocyclone flow field.
Another problem is the measurement of radial
velocity. The ordinary configuration of PDPA is
only able to measure the tangential and axial
velocity. Even though the 3D PDPA has been
developed recently, the relatively lower value of
radial velocity makes it even more difficult to get
convincing conclusion.
Although Particle Image Velocimetry (PIV) is a
common and mature measurement method, its
application in hydrocyclone measurement is rare. In
fact, PIV is very suitable to measure the velocity
field inside hydrocyclone, especially the turbulent
feature and the specific features such as secondary
vortexes. Marins et al. (2010) measured the velocity
field in a hydrocyclone with both LDA (similar to
PDPA) and PIV, but the area of interest for PIV is in
a cone near underflow, where the hydrocyclone
wall is thin enough. And he discussed the turbulence
data based on LDA measurement. Lim et al. (2010)
measured both cylindrical section and cone section
with PIV, but he used it mainly for the validation of
CFD result and didn’t draw impressive conclusions.
Little literature focused on the hydrocyclone flow
field measurement with PIV, but some research on
gas cyclone measurement is inspiring. Zheng and
Duan, X.
Experimental Study on the Turbulent Flow Field inside Hydrocyclone with Particle Image Velocimetry.
In Proceedings of the 7th International Conference on Water Resource and Environment (WRE 2021), pages 219-225
ISBN: 978-989-758-560-9; ISSN: 1755-1315
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
219
Wong made a comprehensive studied on a gas
cyclone (Zheng et al., 2006; Wong et al., 2007). He
divided the cyclone into three sections and measured
separately. The problem is that the sections were not
connected and not measured simultaneously. This
means the loss of some specific features of
secondary vortexes throughout the cross-section.
In this article, the flow field inside an optical
glass 50mm hydrocyclone was measured with
Particle Image Velocimetry (PIV). The
instantaneous velocity profile and vorticity profile is
presented and made comparison with their average
counterparts. The other turbulent information, such
as turbulent intensity and Reynolds shear stress are
also discussed.
2 EXPERIMENTAL
2.1 Hydrocyclone Model
The geometry of Φ50mm hydrocyclone for PIV test
is shown in Figure 1 and the detailed parameter is in
table 1. This type of hydrocyclone in is mainly
designed for solid-liquid separation, for example, the
Methanel to Olefin (MTO) quench water treatment.
Optical grade fused quartz (JGS2) was chosen as the
material of the cyclone body, for considering its
good UV and visible transmission. The optical grade
fused quartz is relatively low for refractive index,
which make it suitable for image measurement
methods.
Figure 1: The geometry of hydrocyclone.
Table 1: Dimensions of the hydrocylone.
D/mm 50
L1/D 1.48
L2/D 8.78
do/D 0.24
Do/D 0.68
du/D 0.08
d/mm 8
h/mm 12
2.2 Experimental Setup
2.2.1 Experimental Procedure
As is shown in Figure 2, water was pumped from a
50L tank to a buffer vessel for a smoother pressure
profile, and then into the hydrocyclone through the
rectangular tangential inlet. Both the overflow and
the underflow went back to the tank to complete a
circulation of the feed material. Hollow glass
microspheres were seeded to trace the fluid flow.
The medium size of the tracer particles is around
10μm, while their particle density is about
1100g/cm3. Three pressure gauges were fixed on all
the inlet and outlets to determine the feed pressure
and control the split ratio. To eliminate the distortion
created by the phenomenon of refraction, we
introduced an index matching method for the
acquisition of images with improved quality. The
hydrocyclone is put inside a rectangular PMMA box
and filled with water inside and outside the
hydrocyclone. Thus, the distortion of image was
minimized for a better result.
Figure 2: Experimental setup.
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220
Table 2: Instrumentation.
Setup Model Parameter of Apparatus Manufacturers
Nd:YAG Laser Vlite-500
Wavelength 532 n
m
Beamtech
Energ
y
500 mJ/Pulse
Pulse Duration 6-8 ns
Re
p
etition Rate 15 Hz
Beam Size 8 m
m
Timing Jitte
r
2 ns
Synchronizer 610035
Dela
y
0-1000s
TSI
Pulsewidth 10ns-1000s
Resolution 1ns
Jitte
r
<400
s
CCD Camera 630159
Pixel Resolution 400,82,672
p
ixels TSI
Frame Rate 15 fps
Frame Straddling Time 200ns
Camera Lens 60m
m
Nikon
2.2.2 Instruments for Measurement
The particle image is captured with a TSI 630159
CCD system. To get images with better quality, a
Nikon 60mm micro-lens is mounted to the TSI
camera. The light sheet is created with the
combination of cylindrical lens and spherical lens.
The two lenses are mounted in the front of laser
emitter of the light arm, which guides the light from
the laser device. The detailed components of
instrumentation are shown in Table 2. Figure 3 show
the measurement instruments of hydrocyclone for
PIV test.
Figure 3: The measurement instruments.
3 RESULTS AND DISCUSSION
3.1 The Axial Velocity Profile
In this experiment, the flow inside hydrocyclone is
operated to a quasi-stable state with no air-core. A
set of two particle images of the central plane
orthogonal to the inlet are captured instantaneously.
The capture interval Δt between the two images of
one straddle is set to 100μs and the exposure time is
300μs. The PIV measurement of flow field inside
hydrocyclone is repeated by 200 times to obtain an
averaged velocity profile.
Figure 4 shows the axial velocity with the Locus
of Zero Vertical Velocity (LZVV) with the inlet
pressure at 50kpa, 100kpa and 150kpa. It can be seen
that the upward axial velocity magnitude peaks in
the central area. The downward axial velocity peaks
in the vicinity of the hydrocyclone wall. The axial
velocity in the area around the LZVV is very slight
in value, where the primary flow will stay longer
inside the hydrocyclone before discharged from the
underflow orifice or overflow pipe. The locus
divides the hydrocylone into two areas: one
promoting the separation process (with downward
axial velcoity) and the other detrimental. From the
three axial velocity contour maps under different
inlet pressure, the LZVV are in the same shape for
similar split ratio of the hydrocyclone. And the locus
is located around 1/6 radius of the cylinder section
away from the hydrocyclone wall.
Experimental Study on the Turbulent Flow Field inside Hydrocyclone with Particle Image Velocimetry
221
Figure 4: The axial velocity contour. contoury
(LZVV)tantaneous vector map of hydrocyclone flow filed.
3.2 The Radial Velocity Profile
Figure 5 shows the radial velocity profile with the
inlet pressure at 50kpa, 100kpa and 150kpa. The
radial velocity is asymmetric even in absolute value.
The asymmetric in absolute value may be attributed
to the single injection of flow. It’s obvious that the
radial velocity peaks in the area very close to the
axis. The peak radial velocity is around 20% of the
axial flow. Although the hydrocyclone is operated
without an air-core, there still exist some upward
flows in the central area with little radial movement.
Another feature of the radial velocity profile is its
variation along axis. It is of great difference from
axial velocity component (or tangential velocity
component) that the radial velocity varies sharply
between outward direction and inward direction. But
most former researchers reported inward velocity in
the cone section, depending on their PDPA
measurements (Bergstrom & Vomhoff, 2007). And
Luo et al. (1989) concluded it with an equation
shown as following:
v
m
r
rc
It was the single-point feature of measurements
with PDPA that resulted in this misunderstanding.
The radial velocity is more complicated than it was
previously deemed. It was clear with PIV
measurements hat the radial velocity is inward in the
upper cone section in only one half of the
hydrocyclone. As a matter of fact, except for the
limited area near hydrocyclone wall, the inward
radial velocity will be replaced by outward radial
velocity in the lower cone section. And the radial
velocity profile is just the opposite in the other side
of the axis. As to the inward radial velocity profile
along axial direction in cone section, it will increase
to the maximum and then decrease to zero and
finally replaced by outward velocity. Thus, the radial
velocity equation should be modified to satisfy this
situation. We can keep the assumption that the radial
velocity followed the similar regulation of tangential
velocity in the inward region. But for the outward
region, the constant -c should be positive. What’s
more, it is obvious that the constant m and C should
be changing along axial direction.
Figure 5: The radial velocity contour.
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3.3 The Two-dimensional Velocity and
Vorticity Profile
The averaged two-dimensional two-component
(2D2C) velocity profile is shown in Figure 6(a).
For the three visualizations of hydrocyclonic
flow field with the inlet pressure at 50kpa, 100kpa
and 150kpa, the vector maps are very similar for the
structure, but the velocity magnitude increases with
increasing inlet pressure. The peak values of velocity
magnitude of all the three visualizations are located
in the central axis of the hydrocyclone. The velocity
vectors are pointed downward near wall and upward
near the axis. This information gives a general idea
for the averaged two-dimensional two-component
(2D2C) velocity profile.
Another significance of the 2D2C velocity
profile is the identification of secondary vortexes.
Figure 7(a) shows the diagram of streamlines
imposed on the vorticity contour. It can be seen that
the vortexes are distributed between the central axis.
The vortexes are in the same rotation sense when
located in the same half, denoting similar formation
mechanism. The secondary vortexes are long
recognized as the “mantle” which is detrimental to
particle transportation from axis to wall. Although
the influence of secondary vortexes is not clear so
far, it’s worth paying attention to its characteristics.
The vorticity distribution profile also denotes the
rotation sense. The Z vorticity
ω
that is presented in
Figure 6 represents the degree of local fluid rotation
and valuable for the determination of the vortex
characteristic and turbulence. The Z vorticity
ω
is
calculated with the following equation:
(,)(,)
y
x
xy
v
v
vvv
x
yxy



The relatively higher vorticity is located in the
transition area of inner spiral flow and outer spiral
flow. The location is also where secondary vortexes
exist, mainly owing to the sharp transition of the
primary flow. The local rotation of fluid would
influence a lot to the particle behavior. If consider a
group of particle transporting from axis to wall and
experiencing a secondary vortex, the particles will
inevitable rotate by themselves and the mass transfer
process will be enhanced.
In comparison with the instantaneous velocity
vector map in Figure 6(b), the averaged velocity
profile is smoother and more convenient for
comprehending. But in another hand, the
instantaneous velocity profile is not distorted by the
averaging process. The instantaneous streamline
superimposed on the vorticity contour map (with the
inlet pressure at 100kpa) is presented in Figure 7(b).
We found some extra secondary vortexes in the
instantaneous map. This indicates that in the
turbulent flow field inside hydrocyclone, the
large-scale secondary vortexes are not able to keep
always stable, and they will break up to form several
smaller scale vortexes. The comparison of the two
streamline diagrams also demonstrates that the
averaging process will eliminate some detailed
structures in the flow field.
Figure 6: Averaged and instantaneous vector map of
hydrocyclone velocity field.
Figure 7: Typical streamline superimposed on the vorticity
distribution contour map.
3.4 The Turbulent Intensity
Figure 8 and Figure 9 shows the standard deviation
of axial velocity and radial velocity, respectively.
The standard deviation is calculated from the 200
visualizations of the velocity field inside
hydrocyclone. The standard deviation σ for axial
velocity and radial velocity are defined by the
following equations:
'2
22 2
12
-+ -+...+ -
i
i
u
u
uu uu uu
nn

)(
i=1,2,…,n
'2
22 2
12
v
- + - +...+ -
i
i
v
vv v v vv
nn

)(
i=1,2,…,n
Experimental Study on the Turbulent Flow Field inside Hydrocyclone with Particle Image Velocimetry
223
The standard deviation σ is also called the
turbulent intensity, representing the degree of
velocity variation in the turbulent flow. Its square is
the same with non-normalized Reynolds normal
stress. In Figure 7, the standard deviation of axial
velocity is rather slight at the quasi-free vortex area.
The turbulence there is not so strong in comparison
to that in the forced vortex area. And the relatively
higher axial velocity in the forced vortex area also
contributes a lot to this phenomenon.
Figure 8: The standard deviation of axial velocity.
Figure 9: The standard deviation of radial velocity.
As is shown in Figure 8, the standard deviation
of axial velocity is also higher in the forced vortex
area. But it peaks in the vicinity of the vortex finder,
while the standard deviation of axial velocity peaks
in the lower part of the cone section. Experimental
results show the radial velocity in the vicinity of the
vortex finder is not so high, which indicates the
turbulence there is rather strong. This reminds us to
modify the vortex finder shape or size to reduce the
turbulence and minimize the bad influence of
back-mixing in some classification process.
3.5 The Reynolds Shear Stress
The Reynolds shear stress is the index for turbulent
fluctuations in fluid momentum. It is obtained from
the averaging process over the Navier-Stokes
equations and defined by the following equation:
"''
(-)(-)
ij
ij i j
uuv v
uv
n

i=1,2,…,n;
j=1,2,…,n
Figure 10 shows the Reynolds shear stress in the
surface. It is found that the much higher Reynolds
shear stresses are produced in the central area. The
lower values are found in the vicinity of
hydrocyclone wall. It demonstrates again the central
area of the hydrocyclone is where the turbulence
concentrates. The data of Reynolds stress could also
serve as the reference for model validation and
modification.
Figure 10: The Reynolds stress.
4 CONCLUSIONS
The turbulent flow field in a 50mm hydrocyclone
was investigated with Particle Image Velocimetry.
200 visualizations were averaged and analyzed.
Results show the averaged velocity field is smoother
and more convenient for comprehending while the
instantaneous velocity field is less distorted by the
averaging process. Both the axial and radial velocity
WRE 2021 - The International Conference on Water Resource and Environment
224
components peak in the central area of the
hydrocyclone. But for radial velocity, it varies
between inward and outward from top to bottom, not
exclusively inward in the cone section. For the
secondary flow pattern, it is found that the secondary
vortexes exist in the transition area of inner spiral
flow and outer spiral flow, where higher vorticity is
located. Turbulent intensity and Reynolds shear
stress is also calculated from the two velocity
components with time series. It is made clear that the
central area is where the turbulence is strongest. And
the maximum radial turbulence intensity exists in the
vicinity of vortex finder tip, while maximum axial
turbulence intensity exists in the lower cone section
with transition of flow.
REFERENCES
Bergstrom, J., & Vomhoff, H., (2007). Experimental
hydrocyclone flow field studies. Separation and
Purification Technology, 53, 8-20.
Lim, E. W. C., Chen, Y. R., Wang, C. H., & Wu, R. M.,
(2010). Experimental and computational studies of
multiphase hydrodynamics in a hydrocyclone
separator system. Chemical Engineering Science, 65,
6415-6424.
Luo, Q., Deng, C., Xu, J. R. Yu, L. X., & Xiong, G. G.,
(1989). Comparison of the performance of
water-sealed and commercial hydrocyclones.
International Journal of Mineral Processing, 25,
297-310.
Marins, L. P. M., Duarte, D. G., Loureiro, J. B. R., Moraes,
C. A. C., & Freire, A. P. S., (2010). LDA and PIV
characterization of the flow in a hydrocyclone without
an air-core. Journal of Petroleum Science and
Engineering, 70, 168-176.
Wong, W. O., Wang, X. W., & Zhou, Y., (2007). Turbulent
flow structure in a cylinder-on-cone cyclone. Journal
of Fluids Engineering, 129, 1179-1185.
Yang, Q., Wang, H. L., Wang, J. G., Li, Z. M., & Liu, Y.,
(2011). The coordinated relationship between vortex
finder parameters and performance of hydrocyclones
for separating light dispersed phase. Separation and
Purification Technology, 79, 310-320.
Zhang, Y. H., Liu, Y., Qian, P., & Wang, H. L., (2009).
Experimental Investigation of a Minihydrocyclone.
Chemical Engineering & Technology, 32, 1274-1279.
Zheng, Y., Liu, Z. L., Jiao, J. Y., Zhang, Q. K., & Jia, L. F.,
2006. Investigation of turbulence characteristics in a
gas cyclone by stereoscopic PIV. Aiche Journal, 52,
4150-4160.
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