The document numerically analyzes the effect of different numbers of blades on the performance of a centrifugal pump with constant parameters using computational fluid dynamics (CFD). Three cases were simulated with pumps having 5 to 16 blades and the same head, rotational speed, flow rate, and diameter but different performance levels. The results showed that for each case, the pressure and thus performance, increased to a maximum with a specific number of blades then decreased, indicating an optimal blade number for a given pump design and operating conditions.
2. Hayder Kareem Sakran
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There are a few investigations studied the effect of the blade number on the
performance of the centrifugal pump in which too few numbers of blades in
centrifugal pump lead to the circulatory flow loss phenomena because of the
magnitude of the tangential velocity vector (V2, t) at the outer circumstance of the
impeller will not be equalized, since it will be a bigger at the trailing edge than at the
gap between the impeller blades as shown in Fig. [1]. While using too much number
of blades the passage loss phenomena will happen due to the blockage and the skin
friction drag; so that the flow speed at the circumstance of the impeller will not be
identical and that will affect the actual net head and the pump’s efficiency as shown in
Fig. [1]. So the suit number of blades for the centrifugal pump can give a good
performance.
Figure 1 The impeller of the centrifugal pump. [1]
Wee (2011, 5) found that the flow field with the impeller passage is a very
complicated and it depends on the number of blades. [2]. Impeller’s flow direction
can get large control with a large number of blades; with increasing the blockage
because that will create a large ratio between the solid and fluid during fluid flow by
the impeller [3]. The design of the angle of the impeller blade and the tip width can
impact with the increment. Both the relative flow angles at the trailing edge β2 and the
tip width are affected by the increasing of the impeller blade number as shown in
figure (2). [3].
Figure 2 The relation between the tip width, flow angle and the number of blades. [3]
3. Numerical Analysis of The Effect of The Numbers of Blades on The Centrifugal Pump
Performance at Constant Parameters
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Figure (2) shows the increasing of the flow angle β2 with the increasing of the
number of blades; however, the tip width decreases at a specific number of blades (4
to 10). [3].
Another parameter that is affected by the number of blades is the Busemann slip
factor, SfB, when the solidity is more than 1.1 (s>1.1). Busemann slip factor, SfB, can
tend to unity with large number of blades which also can tend to increase the
frictional losses as shown in figure (3). [4]
Figure 3 The relation between the Busemann slip factor, SfB, and the blade angle, βb, for
different numbers of blades, ZR. [4]
The number of blades also can control the centrifugal pump design depending on the
fluid kind. If the centrifugal pump is used to deliver a liquid, the impeller will have a
smaller number of blades than the impeller in the centrifugal pump that is used to
deliver a gas, because of the centrifugal pump that is used to deliver a liquid should
have thicker blades than the other [4]. Stepanoff (1948) found that “the number of
blades should be one third of the discharge blade angle, βb (in degrees)”. [5].
This paper focuses on analyzing three different cases of water flow through a
centrifugal pump with constant parameter which is the head, rotating speed, volume
flow rate and the outlet diameter. Furthermore, it deals with the effect of the variation
of the number of blades on the performance of the centrifugal pump.
2. SIMULATION AND NUMERICAL ANALYSIS
The Turbomachinery problem has been simulated and analyzed numerically by
Computation Fluid Dynamics (CFD) using Shear Stress Transport (SST) turbulence
model to solve the governing equation. A CFD is a common tool used to study and to
gain a good understanding about the flow domain inside the centrifugal pump
numerically.
4. Hayder Kareem Sakran
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Figure 4 3D geometry of the centrifugal pump
The three-dimensional geometry has been created using ANSYS®
, Vista CPDTM
Release 15.0 to simulate a steady state conditions and incompressible fluid flow
problem. The problem specification and the boundary conditions are explained briefly
in the tables1, 2, and 3 for the three cases.
Table 1 Problem Specification and Boundary Conditions for case 1
Case 1
Parameters Problem Specification and Boundary Conditions
Rotational Speed 3500 r.p.m
Volume Flow Rate 54 m3
/hr
Head Rise 25 m
Number of Blades From 5 to 16
Inlet Flow Angle 90 deg
NPSHr 3.59 m
Head Coefficient 0.442
Flow Coefficient 0.040
Machine Type Centrifugal Pump
Suction specific speed, Nss 3.15
Turbulence Model Shear Stress Transport (SST)
Fluid Water at Standard Conditions
Analysis Type Steady State
Inflow/Outflow Boundary Template Mass Flow Inlet/P-Static Outlet
5. Numerical Analysis of The Effect of The Numbers of Blades on The Centrifugal Pump
Performance at Constant Parameters
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Table 2 Problem Specification and Boundary Conditions for case 2
Table 3 Problem Specification and Boundary Conditions for case 3
Unstructured fine mesh has been employed for the flow domain and the details of
the mesh are shown in tables 4, 5 and 6 for the three cases.
Case 2
Parameters Problem Specification and Boundary Conditions
Rotational Speed 3800 r.p.m
Volume Flow Rate 64.8 m3
/hr
Head Rise 28 m
Number of Blades From 5 to 16
Inlet Flow Angle 90 deg
NPSHr 4.53 m
Head Coefficient 0.436
Flow Coefficient 0.046
Machine Type Centrifugal Pump
Suction specific speed, Nss 3.15
Turbulence Model Shear Stress Transport (SST)
Fluid Water at Standard Conditions
Analysis Type Steady State
Inflow/Outflow Boundary Template Mass Flow Inlet/P-Static Outlet
Case 3
Parameters Problem Specification and Boundary Conditions
Rotational Speed 4000 r.p.m
Volume Flow Rate 72 m3
/hr
Head Rise 30 m
Number of Blades From 5 to 16
Inlet Flow Angle 90 deg
NPSHr 5.20 m
Head Coefficient 0.431
Flow Coefficient 0.051
Machine Type Centrifugal Pump
Suction specific speed, Nss 3.15
Turbulence Model Shear Stress Transport (SST)
Fluid Water at Standard Conditions
Analysis Type Steady State
Inflow/Outflow Boundary Template Mass Flow Inlet/P-Static Outlet
6. Hayder Kareem Sakran
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Figure 5 Mesh generation.
Table 4 Mesh Information for Case 1
Table 5 Mesh Information for Case 2
Mesh Information for Case 1
Number of
Blades
Number of
Nodes
Number of
Elements
Tetrahedra Wedges Hexahdra
5 367398 469893 112413 76200 281280
6 363598 466441 113426 76535 276480
7 354798 454506 111006 75120 268380
8 356224 453857 110052 73535 270270
9 361226 457934 110334 74060 273540
10 369962 466693 110978 74195 281520
11 361596 457613 110328 73775 273510
12 364925 460081 109666 73695 276720
13 360636 457641 111431 74680 271530
14 366627 461938 109833 74725 277380
15 363976 460588 110483 76175 273930
16 350109 448723 112398 76195 260130
Mesh Information for Case 2
Number of
Blades
Number of
Nodes
Number of
Elements
Tetrahedra Wedges Hexahdra
5 365550 471726 115871 77395 278460
6 367587 472590 116325 76755 279510
7 362937 466370 114765 76385 275220
8 366906 467909 114654 74885 278370
9 369760 468773 113378 74295 281100
10 374023 473264 113939 74805 284520
11 365776 465047 114162 74705 276180
12 372905 473366 115551 75455 282360
13 365156 465599 115334 75615 274650
14 365644 465959 114784 76525 274650
15 364781 467194 116879 77165 273150
16 361670 462714 115889 76645 270180
7. Numerical Analysis of The Effect of The Numbers of Blades on The Centrifugal Pump
Performance at Constant Parameters
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Table 6 Mesh Information for Case 3
Mesh Information for Case3
Number of
Blades
Number of
Nodes
Number of
Elements
Tetrahedra Wedges Hexahdra
5 366511 473422 117242 76460 279720
6 360896 467498 117953 76395 273150
7 365220 470358 116888 76510 276960
8 355241 460021 116946 75775 267300
9 374953 476653 116478 75265 284910
10 366545 467410 115645 74775 276990
11 368864 469997 116027 75150 278820
12 363307 465224 116634 75740 272850
13 365181 466948 116568 75940 274440
14 362604 465607 117067 77550 270990
15 355524 457851 116691 76470 264690
16 362179 464683 117513 76690 270480
3. RESULTS AND DISCUSSION
After complementation of the mesh generation, the solution has been obtained when
the convergence is done, which is happening after 1000 times of iterations. The
solution has three different groups of results depend on the conditions of the problem
which are explained below:
3.1. Case One
This case done when the centrifugal pump is investigated with 3500 r.p.m, 25 m of
head, 54 m3
/hr, and with different number of blades which are from 5 to 16 as shown
in table1. The results showed different magnitudes of pressure as shown in table7.
Table 7 Pressure at case1.
Number of Blades Pressure in [Pa]
5 3.579E+04
6 3.735E+04
7 3.769E+04
8 3.540E+04
9 3.992E+04
10 4.533E+04
11 4.089E+04
12 3.888E+04
13 4.066E+04
14 3.830E+04
15 4.074E+04
16 3.917E+04
8. Hayder Kareem Sakran
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Figure 6 Pressure variation in case 1.
Figure 7 Pressure magnitude at case 1 to the pump with ten blade number and eight blade
number
The figures show good results in case 1, the pressure gets highest magnitude when
the number of blades is ten. However, the magnitude of pressure has a smallest
amount when the number of blades is eight.
3.2. Case Two
This case done when the centrifugal pump is investigated with 3800 r.p.m, 28 m of
head, 64.8 m3
/hr, and with different number of blades which are from 5 to 16 as
shown in table1. The results showed different magnitudes of pressure as shown in
table 8.
3.0E+04
3.2E+04
3.4E+04
3.6E+04
3.8E+04
4.0E+04
4.2E+04
4.4E+04
4.6E+04
4.8E+04
5.0E+04
4 5 6 7 8 9 10 11 12 13 14 15 16 17
Pressure
Number of Blades
pump with 25 head and 3500 rpm
9. Numerical Analysis of The Effect of The Numbers of Blades on The Centrifugal Pump
Performance at Constant Parameters
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Table 8 Pressure in case 2
Number of Blades Pressure in [Pa]
5 4.385E+04
6 4.187E+04
7 5.264E+04
8 5.228E+04
9 5.370E+04
10 5.274E+04
11 4.659E+04
12 4.603E+04
13 4.543E+04
14 4.702E+04
15 4.650E+04
16 4.143E+04
Figure 8 Pressure variation in case 2
The figures show good results in case 2, the pressure gets highest magnitude when
the number of blades is nine. However, the magnitude of pressure has a smallest
amount when the number of blades is sixteen.
2.0E+04
2.5E+04
3.0E+04
3.5E+04
4.0E+04
4.5E+04
5.0E+04
5.5E+04
6.0E+04
6.5E+04
7.0E+04
4 5 6 7 8 9 10 11 12 13 14 15 16 17
Pressure
Number of Blades
pump with 28 head and 3800 rpm
10. Hayder Kareem Sakran
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Figure 9 Pressure magnitude at case 2 to the pump with nine blade number and sixteen blade
number
3.3. Case Three
This case done when the centrifugal pump is investigated with 3800 r.p.m, 28 m of
head, 64.8 m3
/hr, and with different number of blades which are from 5 to 16 as
shown in table1. The results showed different magnitudes of pressure as shown in
table 9.
Table 10 Pressure in case 3
Number of Blades Pressure in [Pa]
5 4.766E+04
6 4.537E+04
7 5.880E+04
8 6.296E+04
9 6.087E+04
10 5.342E+04
11 5.639E+04
12 4.932E+04
13 4.988E+04
14 5.000E+04
15 5.402E+04
16 5.029E+04
12. Hayder Kareem Sakran
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[3] Ansys, ANSYS TurboSystem User's Guide, ANSYS
®
BladeModeler™ Release
15.0. United States, Software handbook, November, 2013, 147-180.
[4] C. E. Brennen, Hydrodynamics of pumps (Cambridge University Press, 2011).
[5] A. J. Stepanoff, Centrifugal and axial flow pumps (John Wiley and Sons, 1948).
[6] R. W. Westra, Inverse-design and optimization methods for centrifugal pump
impellers (University of Twente, 2008).
[7] S. Shah, S. Jain, R. Patel, & V. Lakhera, CFD for centrifugal pumps: A review of
the state-of-the-art, Chemical, Civil and Mechanical Engineering Tracks of
3rdNirma University International Conference (NUiCONE 2012), Procedia
Engineering (51), (2013), pp 715 – 720.
[8] A. Hassan, & N.Kamal, Experimental and Numerical Study on Cavitation Effects
in Centrifugal Pumps, Journal of Engineering/ Baghdad University/ Iraq, 20 (2),
(2014), 73-86.
[9] M. Kassim, F. Saleh, & M. Kadhum, Experimental and Numerical Investigation
of Rotating Stall Phenomenon in Centrifugal Blower at Different Blade Number
of the Impeller, Journal of Engineering and Development/Iraq, 19 (1), (2015), pp
31-49.
[10] N. Jaiswal, CFD Analysis of Centrifugal Pump: A Review, Int. Journal of
Engineering Research and Applications, 4 (5), (2014), pp 175-178.
[11] R. Muttalli, S. Agrawal, & H. Warudkar, CFD Simulation of Centrifugal Pump
Impeller Using ANSYS-CFX. International Journal of Innovative Research in
Science, Engineering and Technology, 3(8), (2014), pp 15553-15561.
[12] C. W. S. De P Maitelli, V. M. De F Bezerra, and W. Da Mata,Simulation of Flow
in a Centrifugal Pump of ESP Systems Using Computational Fluid Dynamics,
Brazilian Journal of Petroleum and Gas, 4(1), (2010), pp 001-009.
[13] M.Dadhich, D. Hariyani, & T. Singh, Flow Simulation (CFD) & Fatigue
Analysis (FEA) of a Centrifugal Pump, International Journal of Mechanical
Engineering and Technology (IJMET), 3(3), (2012), pp 67-83.
[14] T. Tanwar, D. Hariyani, & M. Dadhich, Flow Simulation (CFD) & Static
Structural Analysis (FEA) of a Radial Turbine, International Journal of
Mechanical Engineering and Technology (IJMET), 3(3), (2012), pp 252-269.
[15] S. Marathe, R. Saxena, & C. Solanki, Numerical Analysis on the Performance
Characteristics of the Centrifugal Pump, International Journal of Engineering
Research and Applications (IJERA), 3(3), (2013),pp 1466-1469.
[16] Abdul Habib, Mohammad, Shivprakash B. Barve, S. P. Shisode, and Savita U
Shinde, Numerical Flow Simulation of Centrifugal Pump in Ansys and Open
Foam, International Journal of Current Engineering and Technology, Special
Issue-3, (2014), 98-102.
[17] S. Rajendran, and K. Purushothaman, Analysis of a Centrifugal Pump Impeller
Using ANSYS-CFX, International Journal of Engineering Research &
Technology (IJERT) 1(3),(2012).
[18] T. Nigussie, & E. Dribssa, Design and CFD Analysis of Centrifugal Pump,
International Journal of Engineering Research and General Science, 3(3),
(2015), pp 668-677.
[19] Cheah, Kean, Thong Lee, and Winoto S.H. , Numerical Study of Inlet and
Impeller Flow Structures in Centrifugal Pump at Design and Off-design Points,
International Journal of Fluid Machinery and Systems, 4(1), (2011), pp 25-32.
[20] A. Bhuptani, P. Patel, & K. Bhuptani, Design and Analysis of Centrifugal Pump,
Journal of Information, Knowledge and Research in Mechanical Engineering,
2(2), (2013), pp 196-201.
13. Numerical Analysis of The Effect of The Numbers of Blades on The Centrifugal Pump
Performance at Constant Parameters
http://www.iaeme.com/IJMET/index.asp 117 editor@iaeme.com
[21] A. Syam Prasad, BVVV Lakshmipathi Rao, A. Babji, and P Kumar Babu, Static
and Dynamic Analysis of a Centrifugal Pump Impeller, International Journal of
Scientific & Engineering Research, 4(10), (2013), pp 966-71.
[22] C. K. Susheel, Numerical Investigation of Flow Field on A Centrifugal Slurry
Pump, doctoral diss., Thapar University, Patiala, 2008.
[23] J. Gonzalez, J. Fernández, E. Blanco, & C. Santolaria, Numerical simulation of
the dynamic effects due to impeller-volute interaction in a centrifugal pump.
Journal of Fluids Engineering, 124(2), (2002), pp 348-355.
[24] Y. Miyazoe, T. Sawairi, K. Ito, Y. Konishi, T. Yamane, M. Nishida, & Y.
Taenaka, Computational fluid dynamics analysis to establish the design process
of a centrifugal blood pump: second report, Artificial organs, 23(8), (1999),
pp762-768.
[25] J. P. Veres, Centrifugal and axial pump design and off-design performance
prediction( National Aeronautics and Space Administration, 1994)
[26] S. Chakraborty, and K.M Pandey, Numerical Studies on Effects of Blade Number
Variations on Performance of Centrifugal Pumps at 4000 RPM, International
Journal of Engineering and Technology, 3(4), (2011), pp 410-416.
[27] K. Pandey, A. Singh, & S. Chakraborty, Numerical Studies on Effects of Blade
Number Variations on Performance of Centrifugal Pump at 2500 r.p.m, Journal
of Environmental Research and Development, 6(3), (2012), 863-868.
[28] M. Behbahani, M. Behr, M. Hormes, U. Steinseifer, D. Arora, O. Coronado, &
M. Pasquali, A review of computational fluid dynamics analysis of blood pumps,
European Journal of Applied Mathematics, 20(04), (2009), 363-397.
[29] Y. T. Lee, V.Ahuja, A. Hosangadi, M. E. Slipper, L. P. Mulvihill, R. Birkbeck, &
R. M. Coleman, Impeller design of a centrifugal fan with blade optimization,
International Journal of Rotating Machinery, (2011), doi:10.1155/2011/537824.
[30] E. Dick, J. Vierendeels, A. Serbrugyns, & J. V. Voorde, Performance prediction
of centrifugal pumps with CFD-tools, Task quarterly, 5, (2001), pp 579-594.
[31] J. H. Kim, K. T. Oh, K. B. Pyun, C. K. Kim, Y. S. Choi, & J. Y. Yoon, Design
optimization of a centrifugal pump impeller and volute using computational fluid
dynamics, In IOP Conference Series: Earth and Environmental Science ,15( 3),
(2012), pp 032-025.
[32] S. Miyauchi, B. Zhu, X. Luo, B. Piao, H. Matsumoto, M. Sano, & N. Kassai,
Optimization and Inverse Design of Pump Impeller, In IOP Conference Series:
Earth and Environmental Science,15( 3), (2012), pp 032-032.
[33] S. F. Xie, Y. Wang, Z. C. Liu, Z. T. Zhu, C. Ning, & L. F. Zhao, Optimization of
centrifugal pump cavitation performance based on CFD, In IOP Conference
Series: Materials Science and Engineering, 72(3), (2015), pp 032-023.
[34] H. Hosseinimanesh, T. C. Vu, C. Devals, B. Nennemann, & F. Guibault, A
steady-state simulation methodology for predicting runaway speed in Francis
turbines, In IOP Conference Series: Earth and Environmental Science, 22(3),
(2014), pp 032-027.
[35] N. P. Kyrtatos, Centrifugal and Rotary Pumps: Fundamentals with Applications.
L Nelik, Applied Mechanics Reviews, 52, (1999), B98-B98.
[36] K. Fernandez, B. Pyzdrowski, D. W. Schiller, M. B. & Smith, Understand the
basics of centrifugal pump operation, CEP Magazine, (2002), pp 52-56.
[37] S.Yedidiah, Centrifugal pump user’s guidebook: problems and solutions
(Springer Science & Business Media, 2012).
[38] J. Tuzson, Centrifugal pump design (John Wiley & Sons, 2000).