Vaned mixed-flow pump is widely used in industrial and agricultural cases. Considering mixed-flow impeller and space guide-vanes, the impeller and guide-vane blade angles need optimization design. In order to conduct optimization, the global dynamic-criterion algorithm with the ability of parallel running, dynamic criterion and escaping from local-best trap was used in this case. Based on numerical simulation and experimental verification, the 18 parameters' combination was optimized using this algorithm to achieve higher-efficiency in a specific flow rate range around the design condition. The numerical results showed that the weighted efficiency increased from 87.32% to 89.26% and the head coefficient decreased from 0.720 to 0.693. The improved efficiency and reduced head under design requirement helps to reduce the shaft power and energy consumption. The optimized blade inlet angle matches the inlet angle and improves the uniformity of flow in the impeller. The impeller outlet angle matches the guide vane inlet angle. Therefore, the flow regime becomes smoother in the rotor stator interaction region. The experimental results verify that the optimized pump efficiency was 85.75%. The measured head coefficient was 0.643 which meets the design requirement. This study provides a successful work for the green design of impeller and guide-vane of mixed-flow pump.
BingHCaoSTanL, et al.Effects of meridional flow passage shape on hydraulic performance of mixed-flow pump impellers. Chin J Mech Eng2013; 26: 469–475.
2.
RodriguezCEgusquizaESantosI. Frequencies in the vibration induced by the rotor stator interaction in a centrifugal pump turbine. J Fluids Eng2007; 129: 1428–1435.
3.
TanMGuoBLiuH, et al.Investigation of radial force and hydraulic performance in a centrifugal pump with different guide vane outlet angle. J Vibroeng2015; 17: 3247–3260.
4.
TaoRXiaoRLiuW. Investigations of the unstable Q-H hump characteristic of a nuclear main pump. Proc IMechE, Part A: J Power and Energy2018; 232: 856–869.
5.
WangKLiuHZhouX, et al.Experimental research on pressure fluctuation and vibration in a mixed flow pump. J Mech Sci Technol2016; 30: 179–184.
6.
XiaLMaZKokogiannakisG, et al.A model-based design optimization strategy for ground source heat pump systems with integrated photovoltaic thermal collectors. Appl Energy2018; 214: 178–190.
7.
SafikhaniHKhalkhaliAFarajpoorM. Pareto based multi-objective optimization of centrifugal pumps using CFD, neural networks and genetic algorithms. Eng Appl Comput Fluid Mech2011; 5: 37–48.
XiaoZYLiuYJiangEL. The design and stability testing of floating fire pump. Sci Technol Eng2013; 13: 4369–4374.
10.
HuangZZouYWeiC, et al.Optimization design based on orthogonal experiment and CFD on fire pump impeller. J Drain Irrig Mach Eng2016; 34: 1040–1044.
11.
YaoZWangFXiaoR, et al.Experimental investigation on pressure fluctuations in suction chamber and volute of a double-suction centrifugal pump. J Hydraul Eng2012; 43: 473–479.
12.
FuDWangFZhouP, et al.Impact of impeller stagger angles on pressure fluctuation for a double-suction centrifugal pump. Chin J Mech Eng2018; 31: 10.
13.
ZhangDShiWChenB, et al.Unsteady flow analysis and experimental investigation of axial-flow pump. J Hydrodyn2010; 22: 35–43.
14.
ShiWZhangDGuanX, et al.Numerical and experimental investigation of high-efficiency axial-flow pump. Chin J Mech Eng2010; 23: 38–44.
15.
LinGChenJ. Optimal analysis on the cyclic performance of a class of chemical pumps. Appl Energy2001; 70: 35–47.
16.
GulerenKM. Automatic optimization of a centrifugal pump based on impeller-diffuser interaction. Proc IMechE, Part A: J Power and Energy2018; 232: 1004–1018.
17.
KimJAhnHKimK. High-efficiency design of a mixed-flow pump. Sci Chin Technol Sci2010; 53: 24–27.
18.
LiuYTanL. Spatial-temporal evolution of tip leakage vortex in a mixed flow pump with tip clearance. J Fluids Eng2019; 141: 081302.
19.
LiuYTanL. Tip clearance on pressure fluctuation intensity and vortex characteristic of a mixed flow pump as turbine at pump mode. Renew Energy2018; 129: 606–615.
20.
HaoYTanL. Symmetrical and unsymmetrical tip clearances on cavitation performance and radial force of a mixed flow pump as turbine at pump mode. Renew Energy2018; 127: 368–376.
21.
LiYLiRWangX. The numerical simulation of unsteady flow in a mixed flow pump guide vane. Int J Fluid Mach Sys2013; 6: 200–205.
22.
TaoRXiaoRWangF, et al.Cavitation behavior study in the pump mode of a reversible pump-turbine. Renew Energy2018; 125: 655–667.
23.
XuYTanLCaoS, et al.Multiparameter and multiobjective optimization design of centrifugal pump based on orthogonal method. Proc IMechE, Part C: J Mechanical Engineering Science2017; 231: 2569–2579.
24.
LiuMTanLCaoS. Design method of controllable blade angle and orthogonal optimization of pressure rise for a multiphase pump. Energies2018; 11: 1048.
25.
LiuMTanLCaoS. Theoretical model of energy performance prediction and BEP determination for centrifugal pump as turbine. Energy2019; 172: 712–732.
26.
LiuHWangKYuanS, et al.Multicondition optimization and experimental measurements of a double-blade centrifugal pump impeller. J Fluids Eng2013; 135: 111031.
27.
Wei S and Leung H. An improved genetic algorithm for pump scheduling in water injection systems for oilfield. In: IEEE 2008 IEEE Congress on Evolutionary Computation, Hong Kong, China, 1–6 June 2008, pp.1027–1032.
28.
BingHCaoS. Multi-parameter optimization design, numerical simulation and performance test of mixed-flow pump impeller. Sci Chin Technol Sci2013; 56: 2194–2206.
29.
HuangLHuangPGLebeauRP, et al.Optimization of aifoil flow control using a genetic algorithm with diversity control. J Aircraft2007; 44: 1337–1349.
30.
BentukiMDizeneRGhenaietA. Multi-objective optimization of two-stage centrifugal pump using NSGA-II algorithm. J Appl Fluid Mech2018; 11: 929–943.
31.
LiuLZhuBBaiL, et al.Parametric design of an ultrahigh-head pump-turbine runner based on multiobjective optimization. Energies2017; 10: 1169.
32.
ZhuDXiaoRTaoR, et al.Designing incidence-angle-targeted anti-cavitation foil profiles using a combination optimization strategy. Energies2018; 11: 3099.
33.
VisserFCDijkersRJHWoerdJGHOD. Numerical flow-field analysis and design optimization of a high-energy first-stage centrifugal pump impeller. Comput Vis Sci2000; 3: 103–108.
34.
SugimuraKObayashiSJeongS. Multi-objective optimization and design rule mining for an aerodynamically efficient and stable centrifugal impeller with a vaned diffuser. Eng Optim2010; 42: 271–293.
35.
KumarGSSahasrabudheAD. Design optimization of fan impeller for dehusking grains: using feature-based CAD and flow solver. Int J Model Simul2010; 30: 73–79.
36.
KimJHOhKTPyunKB, et al.Design optimization of a centrifugal pump impeller and volute using computational fluid dynamics. IOP Conf Ser Earth Environ Sci2012; 15: 032025.
37.
MenterFRKuntzMLangtryR. Ten years of industrial experience with the SST turbulence model. Turbul Heat Mass Transf2003; 4: 625–632.
38.
BoXChenX. Evaluation of combined standard uncertainty based on MATLAB. J Hefei Univ Technol2004; 27: 1138–1140.
