ISSN 1807-1929
Revista Brasileira de Engenharia Agrícola e Ambiental
v.24, n.1, p.3-7, 2020
Campina Grande, PB, UAEA/UFCG – http://www.agriambi.com.br
DOI: http://dx.doi.org/10.1590/1807-1929/agriambi.v24n1p3-7
CFD simulation on centrifugal pump impeller with splitter blades
Henrique M. P. Rosa1 & Bruno S. Emerick2
Universidade Federal de Viçosa/Departamento de Engenharia de Produção e Mecânica/Curso de Engenharia Mecânica. Viçosa, MG, Brasil. E-mail:
[email protected] (Corresponding author) - ORCID: 0000-0002-1437-2265
2
Universidade Federal de Santa Catarina/Departamento de Engenharia Mecânica/Laboratório de Engenharia de Processos de Conversão e Tecnologia
de Energia. Florianópolis, SC, Brasil. E-mail:
[email protected] - ORCID: 0000-0003-0118-3577
1
ABSTRACT: The present paper aims to present the analysis and comparison of results of computational
simulations using Computational Fluids Dynamics (CFD) in impellers of centrifugal pump. Three impellers
were simulated: 1) original impeller, 2) original impeller with splitter blades at outlet; 3) original impeller with
splitter blades at inlet. The splitters occupied 30% of the length of the main blades. They were simulated using
the ANSYS-CFX software system in 1500 rpm rotational speed and at different flow rates. The turbulence
model assumed was the Shear Stress Transport (SST). The results were used to build impeller blade head
curves, besides the presentation of pressure distribution and streamline behaviour inside the impeller. It was
verified that the insertion of the splitter blades reduced the impeller blade head, mainly the impeller with
outlet splitter, whose reduction was more intense.
Key words: turbomachinery design, flow modeling, pressure distribution, streamline behavior
Simulação CFD em rotor de bomba centrifuga
com pás intermediárias
RESUMO: A proposta deste artigo é apresentar a análise e comparação dos resultados de simulação
computacional usando a Dinâmica dos Fluidos Computacional (CFD) em rotores de bomba centrífuga. Três
rotores foram simulados: 1) rotor original; 2) rotor original com pás intermediárias na saída; 3) rotor original
com pás intermediárias na entrada. O comprimento das pás intermediárias foi de 30% do comprimento da
pá principal. Eles foram simulados usando o software ANSYS-CFX na rotação de 1500 rpm para diferentes
vazões. O modelo de turbulência adotado foi o Shear Stress Transport (SST). Com os resultados foram
construídas as curvas de altura produzida pelas pás do rotor, além da apresentação da distribuição de pressão
e comportamento das linhas de corrente dentro do rotor. Foi verificado que a inserção das pás intermediárias
levou à redução da altura produzida pelas pás do rotor, principalmente para o rotor com pás intermediárias
na saída, na qual a redução foi maior.
Palavras-chave: projeto de turbomáquinas, modelagem de escoamento, distribuição de pressão,
comportamento de linhas de corrente
Ref. 208677 – Received 19 Jul, 2018 • Accepted 07 Nov, 2019 • Published 19 Nov, 2019
Henrique M. Rosa & Bruno S. Emerick
4
Introduction
The computational fluid dynamics (CFD) is the present
day state-of-art technique in fluid flow analysis (Choi et al.,
2013). Successful results in predicting the flow patterns within
the passages of centrifugal pumps indicate that CFD might be
capable of assisting a pump engineer in obtaining improved
designs (Yedidiah, 2008). Several researchers have studied
pump optimization using the CFD tool.
Chakraborty et al. (2012) studied the effect of the number
of impeller blades on the performance of centrifugal pumps.
For the pump studied, ten blades presented better results.
Yang et al. (2012) used CFD technology to explore the
reasons for performance variation on pump as turbine (PAT)
when the impeller diameter is trimmed.
Wang et al. (2017) studied a special impeller used on pump
as turbine (PAT). In that study, hydraulic loss, internal flow
characteristic, and static pressure distribution were analyzed on
the basis of the two PATs' numerical results obtained by CFD.
Zhu et al. (2016) investigated the utilization of half vane
diffuser in a centrifugal pump with 6- blade impeller. For the
half vane diffusers, the same vanes were used, except for the
vane height.
Nataraj & Singh (2014) discuss the response surface
methodology (RSM)-based design optimization of a centrifugal
pump complemented with CFD simulations.
In this context, this study aims to apply a CFD simulation
software system to study the behaviour of a radial impeller of
a centrifugal pump, with splitter blades inserted between the
main blades. A comparison will be carried out with the original
impeller (without splitter blades).
Reynolds values or the time-averaging approach. However,
the most common method for modeling turbulent flows is
the time-averaging method. Using this approach for the case
of incompressible flows, the general forms of the governing
equations are as described by Eqs. 1 to 5. Since a rotating
control volume is considered, these equations employ the
relative motion and, therefore, the relative velocity of fluid - W
(Jafarzadech et al., 2011).
Since the pumped fluid is incompressible and the flow is in
a steady state, the continuity equation is composed as follows:
Material and Methods
´
´ ´
ρ W ∇ W = −∇P + ∇ τ + SM
The original impeller had six blades and its design operating
flow rate was 52 m³ h-1 at 1500 rpm rotation speed. Table 1 lists
the main geometric design parameters of this impeller. The
Figures 1A and B show the original impeller.
The three impellers simulated were: 1-original impeller;
2-original impeller with insertion of splitter blades at outlet;
3-original impeller with insertion of splitter blades at inlet.
These impellers were named, respectively: impeller#1,
impeller#2 and impeller#3. The splitter blade length was 30%
of the main blade length. Figure 1C shows the section view of
impeller#2, which is similar to the impeller #3, except that the
splitters are at the inlet.
In the averaging of the steady-state incompressible flows,
the conservation equations can be solved based on the average
Figure 1. Isometric view of impeller (A), section view of
impeller (B), and section view of impeller with outlet splitter
blades (C)
∇W =
0
(1)
where:
W - relative velocity of fluid.
Besides, the equation of conservation of momentum is
expressed as relation (Eq. 2). This is the three dimensions
Navier-Stokes equation for rotary domain.
where:
ρ
P
τ
SM
(2)
- fluid density;
- static pressure;
- shear stress tensor, related to fluid viscosity; and,
- source term, related to additional forces.
For flows in a rotating frame of reference at a constant
angular velocity ω, additional sources of momentum are
required to account for the effects of the Coriolis force and
the centrifugal force (Jafarzadech et al., 2011), written as Eqs.
3 and 4, respectively:
Table 1. Main geometric parameters of the impeller
where:
Scor
Scfg
ω
r
SCor = −ρωxW
(3)
SCfg = −ρωx ( ωxr )
(4)
- Coriolis force;
- centrifugal force;
- angular velocity; and,
- location vector.
Thus, the additional sources of momentum is written as
Eq. 5:
R. Bras. Eng. Agríc. Ambiental, v.24, n.1, p.3-7, 2020.
CFD simulation on centrifugal pump impeller with splitter blades
SM = −ρωxW − ρωx ( ωxr )
(5)
The CFD finite volume method is the most used to solve
problems. This method models three-dimensional flow.
Since the method is a fully-implicit solver, it creates no
time step limitation and is considered easy to implement. It
is also a coupled solver, which means that the momentum
and continuity equations are solved simultaneously. This
approach reduces the number of iterations required to obtain
convergence and no pressure correction term is required to
retain mass conversion. Therefore, it is a more robust and
accurate solver (Barrio et al., 2010; Derakhshan et al., 2012).
Prior knowledge about the phenomenon analyzed and the
application of the boundary conditions or the flow parameters
are necessary to ensure the reliability of the results.
In this context, a high-quality mesh must be generated.
The numerical mesh is the discretization of the fluid domain,
where the variables for the flow simulation will be calculated.
In 3D simulation in the impeller, the width of flow channel
varies along the radius.
After the generation of the fluid domain for each impeller
configuration, the mesh is generated by the system called
Meshing in ANSYS Workbench.
For meshing, regardless the impeller configuration, the
CFD model was adopted in Physics Preference and the CFX was
selected as the Solver Preference. The CFX Solver presents very
accurate results and can afford to run a fine mesh. Refinements
in the mesh were made near the edges on the fluid domain,
which is a region of interest for the occurrence of physical
phenomena.
The User Advanced Size Function is used for growth control
and mesh distribution in key areas with high curvature or near
the surface. The Sizing function was set up as On Curvature,
which imposes a growth rate for the transition between the
sizes of cell, ensuring a smaller normal curvature angle, thereby
creating a finer mesh surface. In Max Face Size and Max Size,
the values established were 0.002 m. Both functions determine
the max size related to the elements in the mesh.
Figure 2 shows the mesh of the fluid domain for the impeller
with six splitter blades at the outlet. It is a non-structured
5
tetrahedral mesh, which resulted in 301271 nodes after a
meshing independence test.
Regarding the boundary conditions, this project focus on
the fluid domain generated from the impeller. The boundary
conditions set up were: static pressure (101325 Pa) at inlet
and mass flow rate at outlet. The variation of outlet mass flow
allowed to simulate design and several off-design operation
conditions.
The remaining parts were set as the Wall, which is a
boundary impenetrable to the flow. The wall was set as No Slip,
and the roughness of the wall was set as 100 microns, due to
the manufacturing process.
The turbulence model applied was the Shear Stress
Transport (SST). This model is very accurate for the numerical
investigation of flow within a centrifugal pump (Shojaeerd et
al., 2012), also used by other authors, including Akemi et al.
(2015) and Li et al. (2018)
The fluid domain is a rotary domain with constant
rotational speed of 1500 rpm. Therefore, all boundary rotated
with this speed, except the inlet, which was stationary.
The fluid was defined as water at 25 °C.
The disk friction losses and the flow leakage were not
considered in the simulations. Consequently, the hydraulic
head produced represents the specific work transmitted by the
impeller blades. This is calculated by Eq. 6:
H blade =
∆P
ρg
(6)
where:
Hblade - Impeller blade head, in m;
ΔP - Total pressure difference (static + dynamic) between
the Inlet and Outlet, in Pa;
ρ
- Density of the water, in kg m-3; and,
g
- Gravity acceleration, in m s-2.
Where water density is 997 kg m -3 (at 25 ºC), and
gravitational acceleration as 9.80665 m s-2. The rotational speed,
1500 rpm, was maintained for all simulations.
Results and Discussion
Figure 2. Mesh generated with six splitter blades at outlet
(impeller#2)
The impeller blade head curve was built for each impeller
simulated, as shown in Figure 3.
Figure 3 shows that the insertion of splitter blades reduced
the impeller blade head. This may be due to: 1) the increased
friction on the impeller, since, when the splitter blades are
inserted, the fluid flows in contact with a larger solid rough
surface inside the impeller; 2) change in the direction of the
relative flow.
The latter can reduce the angle of relative flow by leaving
impeller β2’, which results in β2’ < β2 so that β2 is the blade angle
at the outlet (Figure 4A). According to Euler equation (Eq. 7),
which is based on ideal conditions, the maximum specific work
transferred by the impeller is obtained when β2’ = β2, since the
tangential component of absolute velocity Vt2 is the maximum.
When β2’ < β2, the tangential component of absolute velocity
at outlet Vt2’ is smaller than Vt2 (Figure 4B). Consequently, the
R. Bras. Eng. Agríc. Ambiental, v.24, n.1, p.3-7, 2020.
Henrique M. Rosa & Bruno S. Emerick
6
Figure 3. Impeller blade head as a function of flow rate for
three impellers
specific work transmitted by the impeller decreases (Pfleiderer
& Petermann, 1979; Stepanoff, 1957; Turton, 1995).
H blade =
where:
u1
u2
Vt1
and,
Vt2
u 2 Vt 2 - u1Vt1
g
(7)
- tangential velocity at inlet;
- tangential velocity at outlet;
- tangential component of absolute velocity at inlet;
- tangential component of absolute velocity at outlet.
Figure 5 shows the total pressure distribution and the
stream lines in a middle plane inside the impeller for 52 m3 h-1
flow rate (nominal rate) for the three impellers simulated.
The pressure distributions (Figures 5A, C and E) show
similarity between the impellers and compatibility with the
turbomachinery theory: the pressure energy increases along
the radius of the impeller.
Figure 5. Pressure distributions on: Original impeller (A),
impeller with splitter at outlet (C), impeller with splitter blade
at the inlet (E); stream line distribution on: Original impeller
(B), impeller with splitter at the outlet (D), impeller with
splitter blade at the inlet (F)
The pressure distribution on the outlet region of impeller#2
(Figure 5C) is less uniform, compared to the other two. There
is greater pressure between the back-face of the splitter blade
and the front-face of the main blade. No similar phenomenon is
observed on the inlet region in impeller#3 (Figure 5E). In other
words, the pressure on the inlet region in impeller#3 is more
uniform than on the outlet region in impeller#2. This indicates
that the splitter blades at the outlet cause more disturbance on
pressure distribution than the splitter blade at the inlet.
Figure 4. Ideal inlet and outlet velocity diagram (A), ideal and real velocity diagram at the outlet (B)
R. Bras. Eng. Agríc. Ambiental, v.24, n.1, p.3-7, 2020.
CFD simulation on centrifugal pump impeller with splitter blades
The streamlines show the path that a small, neutrallybuoyant particle would take through the flow domain (Ansys,
2011). It was set up to show 250 lines for the simulations
(Figures 5B, D and F).
Within the original impeller, the concentration of flow is
larger on the front-face of the blade (Figure 5B), due to the
Coriollis force action over the relative flow (Sedille, 1967).
According to Stepanoff (1957), a great quantity of blades
provides better guided and more uniform flow inside the
impeller, which can increase the hydraulic energy produced
by the impeller. However, a great number of blades increases
energy loss due the viscous friction. Therefore, a splitter blade
is inserted in order to make the flow more uniform and better
guided, which increases the impeller blade head, without
increasing much the friction loss.
Figures 5D and F show that the splitter deviated part of the
fluid stream. In the impeller with outlet splitter, the deviation
did not occur smoothly. Instead, there was a hard curvature
on the stream (Figure 5D), which caused energy loss. For the
impeller with inlet splitter, the curvature on the streamline
at the downstream splitter was smooth. The deviation on the
stream line modified the pressure distribution, in agreement
with the turbomachinery theory, according to which there is a
relation between pressure and the velocity approached by the
Bernoulli equation (Sedille, 1967).
Conclusions
1. The insertion of the splitters reduced the impeller blade
head when compared to the impeller without splitters. Thus,
the outlet splitter caused greater reduction.
2. The splitter caused some deviations on the flow and
energy loss, mainly the outlet splitters, which caused a hard
curvature on the stream.
3. The splitter at the inlet improved flow distribution,
despite the smooth flow curvature at the downstream edge of
the splitter. Additionally, the viscous friction raised with the
splitters, which reduced the impeller blade head.
4. The CFD simulation led to results that agree with the
turbomachinery theory.
5. The CFD approach may help improving the existing
efficiency measuring techniques and the evaluation of the
performance pumps, besides the development of new impeller
design.
Acknowlegdment
The authors are thankful to FAPEMIG (Fundação de
Amparo à Pesquisa do Estado de Minas Gerais) and CNPq
(Conselho Nacional de Desenvolvimento Científico e
Tecnológico) for the funding provided.
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