Optimization design for reducing the axial force of a vaned mixed-flow pump

Zhu, Di; Xiao, Ruofu; Yao, Zhifeng; Yang, Wei; Liu, Weichao

doi:10.1080/19942060.2020.1749933

Cited by 21 publications

(10 citation statements)

References 22 publications

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“…The hydraulic efficiency and the sufficient pump head were improved. Zhu et al (2020) established an artificial neural network through the global dynamic criterion algorithm and proposed an effective method to reduce the axial force. This method improves the adverse effect of axial force on the pump by setting balance holes and balance plates.…”

Section: Introductionmentioning

confidence: 99%

Prediction and investigation between impeller blade shape parameters and performance parameters in CFD and ANN

Jin¹,

Tao²,

Xiao³

2022

10.5267/j.esm

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The blade shape parameters have a remarkable effect on the centrifugal pump performance. In order to reveal the relationship between these parameters and pump performance, a single channel was regarded as the research object to calculate its performance by numerical simulation, and the performance was measured on an experimental rig. The optimized ANN is proposed, and it is proved to be highly accurate. The ANN correlation coefficient of the total response could be above 0.997 after thousands of retaining. The sorts and degrees affecting performance parameters were found out by gray relation analysis. It was found that the blade angles at the leading edge were more influential for reaction force, head and minimum pressure, while the wrap angles had greater impact for efficiency. Furthermore, a multiple linear regression model was established to quantify the weight and trend of the influence of blade shape parameters on performance. The results provide a reference guide for the optimized design of centrifugal impeller to improve pump performance.

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Section: Introductionmentioning

confidence: 99%

Prediction and investigation between impeller blade shape parameters and performance parameters in CFD and ANN

Jin¹,

Tao²,

Xiao³

2022

10.5267/j.esm

Self Cite

View full text Add to dashboard Cite

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“…For a specific impeller design, it is hard to be changed. However, the in-clearance part (clearance axial force) can be controlled by change the shape of clearance [4]. Many researchers have studied the mechanism of clearance axial force in common centrifugal pumps [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis on the influence factors of clearance axial force of a varying-speed centrifugal pump

Jin

Wei

et al. 2022

J. Phys.: Conf. Ser.

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Hydraulic axial force is an important parameter of the performance of centrifugal pump. It strongly affects the operation stability and the life-time of thrust bearing. Under the influence of flow pressure distribution, the hydraulic axial force of centrifugal pump has mainly two parts. One is the force inside impeller while the other is the force in clearance. In this case, the situation is more complex because the pump operates with varying-speed. Under the influence of rotation speed, pump head and minimum clearance width, the variation law of clearance axial force is still not fully understood. Therefore, the orthogonal experiment is conducted based on Large Eddy Simulation (LES). The local flow and hydraulic axial force in impeller shroud clearance is mainly studied. Results show that the pressure difference between impeller inlet and outlet will strongly impact the pressure distribution in clearance. Then, it affects the clearance axial force. The rotation speed and pump head are proved influential. However, range analysis shows that the minimum clearance width is the most dominant factor. It can somehow adjust the pressure distribution in clearance. The geometric design of impeller clearance will be important in reducing hydraulic axial force especially for varying-speed centrifugal pumps.

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“…30 Mathematically modeling the head, efficiency, shaft power and other performances of centrifugal pump by neural network is a research hotspot in recent years. 31–33 In this study, a typical centrifugal impeller is studied in pump mode. 34 Through large quantity of numerical simulation samples and neural network training and prediction samples, the reason of neural network fitting the correlation between centrifugal pump blade angles and performance is explained, the influences of blade profile including installation angles and wrap angles on pump performance are discussed in detail with abundant statistical investigations.…”

Section: Introductionmentioning

confidence: 99%

A machine-learning approach to predicting the energy conversion performance of centrifugal pump impeller influenced by blade profile

Tao

Zhu

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Centrifugal pump is a kind of energy conversion machine for fluid delivering. It transfers the mechanical energy of impeller to the potential and kinetic energy of fluid. As a key factor in influencing the energy conversion performance of centrifugal pump, blade profile design is crucial. Traditional design concepts have ideal assumptions. To have a better design guidance, machine-learning based on neural network is used in this study. A typical centrifugal pump with simplified blade profile is numerically studied with experimental validation for a better discussion. Statistical results show that, for the high dimensional nonlinear relationship between blade angle and performance of centrifugal pump, neural network can adapt to this complex correlation better. The blade installation angle at leading-edge ( βLE′) and trailing-edge ( βTE′) and the wrap angle (Δ θ′) has significant correlation with the performance including pump head H, pump efficiency η, impeller head Himp, impeller efficiency ηimp and volute loss Δ Hvol. The influence level of blade angle follows the high-to-low order of Δ θ′, βLE′ and βTE′. Determination of blade profile can be done for improving the energy conversion efficiency. Optimal blade profiles have higher βLE′ and Δ θ′ with better flow-control ability. Compared with the blade parameters of the initial pump, the blade profile with the best centrifugal pump efficiency is the best βLE′ increased by 1.926°, Δ θ′ increased by 9.858°, Optimization of impeller efficiency βLE′ increased by 1.855°, Δ θ′ increased by 9.421°. Computational fluid dynamics indicate the elimination of vortex in impeller after optimal selection. Then, βTE′ and Δ θ′ are found influential in aggravating the circumferential flow component in this special circular-volute with generating higher loss. βTE′ has a positive correlation with impeller head which suits traditional theory. In general, the machine-learning using neural network is effective in determining blade profiles for enhancing the performance of centrifugal pump.

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Optimization design for reducing the axial force of a vaned mixed-flow pump

Cited by 21 publications

References 22 publications

Prediction and investigation between impeller blade shape parameters and performance parameters in CFD and ANN

Prediction and investigation between impeller blade shape parameters and performance parameters in CFD and ANN

Sensitivity analysis on the influence factors of clearance axial force of a varying-speed centrifugal pump

A machine-learning approach to predicting the energy conversion performance of centrifugal pump impeller influenced by blade profile

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