IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p4969-d857569.html

Study on Inlet Flow Field Structure and End-Wall Effect of Axial Flow Pump Impeller under Design Condition

Author

Listed:
  • Yanlei Guo

    (School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
    Key Laboratory of Fluid Machinery and Systems, Lanzhou 730050, China)

  • Congxin Yang

    (School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
    Key Laboratory of Fluid Machinery and Systems, Lanzhou 730050, China)

  • Yan Wang

    (Nuclear Power Institute of China, Chengdu 610213, China)

  • Tianzhi Lv

    (School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
    Key Laboratory of Fluid Machinery and Systems, Lanzhou 730050, China)

  • Sen Zhao

    (School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
    Key Laboratory of Fluid Machinery and Systems, Lanzhou 730050, China)

Abstract

The existing experimental technology cannot accurately and quantitatively measure the flow field structure and the wall boundary layer displacement effect in the axial flow pump. Based on SST k-ω turbulence model, a three-dimensional unsteady numerical simulation of the whole flow field of an axial flow pump was presented at the designed operating point to overcome the weakness of traditional measurement methods in measuring the flow field of the axial flow pump. The flow field structure of the axial flow pump inlet was studied quantitatively and the result was compared with the theoretical design value. It was found that there is an obvious impeller rotation effect and end-wall effect in the flow field of the axial flow pump inlet. The distribution law of the impeller inlet flow field and the crowding coefficient caused by the wall boundary layer were obtained. The pump inlet measurement point in the experiment and calculation domain inlet in the simulation should be kept at a distance of more than 0.5 D s away from the impeller inlet to eliminate the influence of the impeller rotation effect. Through contrastive analysis, it was found that there is an obvious difference between the calculated value and the design value of the flow field structure due to the end-wall effect. The crowding coefficient should be taken into account when designing an axial flow pump. This study has certain reference significance for further understanding the flow field structure at the inlet of the axial flow pump impeller and improving the design theory of the axial flow pump.

Suggested Citation

  • Yanlei Guo & Congxin Yang & Yan Wang & Tianzhi Lv & Sen Zhao, 2022. "Study on Inlet Flow Field Structure and End-Wall Effect of Axial Flow Pump Impeller under Design Condition," Energies, MDPI, vol. 15(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:4969-:d:857569
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/4969/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/14/4969/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Wenjie & Tai, Geyuan & Pei, Ji & Pavesi, Giorgio & Yuan, Shouqi, 2022. "Numerical investigation of the effect of the closure law of wicket gates on the transient characteristics of pump-turbine in pump mode," Renewable Energy, Elsevier, vol. 194(C), pages 719-733.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Xiaowen & Tang, Fangping & Pavesi, Giorgio & Hu, Chongyang & Song, Xijie, 2024. "Influence of gate cutoff effect on flow mode conversion and energy dissipation during power-off of prototype tubular pump system," Energy, Elsevier, vol. 308(C).
    2. Dehghan, Amir Arsalan & Shojaeefard, Mohammad Hassan & Roshanaei, Maryam, 2024. "Exploring a new criterion to determine the onset of cavitation in centrifugal pumps from energy-saving standpoint; experimental and numerical investigation," Energy, Elsevier, vol. 293(C).
    3. Katarzyna Chudy-Laskowska & Tomasz Pisula, 2022. "An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation," Energies, MDPI, vol. 15(19), pages 1-23, October.
    4. Gad, Mona & Gao, Bo & Ni, Dan & Zhang, Ning, 2025. "Numerical investigation of the wake structure and flow energy loss in the pump as a turbine with splitter blades," Renewable Energy, Elsevier, vol. 252(C).
    5. Xu, Zhe & Zheng, Yuan & Kan, Kan & Chen, Huixiang, 2023. "Flow instability and energy performance of a coastal axial-flow pump as turbine under the influence of upstream waves," Energy, Elsevier, vol. 272(C).
    6. Zhou, Tingxin & Yu, Xiaodong & Zhang, Jian & Shi, Lin & Xu, Hui, 2025. "Pressure pulsations intelligent prediction model for load rejection of pumped storage power station based on data augmentation and one-dimensional convolutional neural network," Energy, Elsevier, vol. 330(C).
    7. Xu, Zhe & Zheng, Yuan & Kan, Kan & Pavesi, Giorgio & Rossi, Mosè & Xu, Lianchen & Yan, Xiaotong, 2025. "Vortex evolution and energy loss of an axial flow Pump-As-Turbine (PAT) with the influence of upstream waves," Energy, Elsevier, vol. 322(C).
    8. Junjie Wu & Xiaoxi Zhang, 2022. "Convolutional Neural Network Identification of Stall Flow Patterns in Pump–Turbine Runners," Energies, MDPI, vol. 15(15), pages 1-16, August.
    9. Jin, Faye & Luo, Yongyao & Zhao, Qiang & Cao, Jiali & Wang, Zhengwei, 2023. "Energy loss analysis of transition simulation for a prototype reversible pump turbine during load rejection process," Energy, Elsevier, vol. 284(C).
    10. Hu, Jinhong & Zhao, Zhigao & He, Xianghui & Zeng, Wei & Yang, Jiebin & Yang, Jiandong, 2023. "Design techniques for improving energy performance and S-shaped characteristics of a pump-turbine with splitter blades," Renewable Energy, Elsevier, vol. 212(C), pages 333-349.
    11. Jesús Fraile Ardanuy & Roberto Alvaro-Hermana & Sandra Castano-Solis & Julia Merino, 2022. "Carbon-Free Electricity Generation in Spain with PV–Storage Hybrid Systems," Energies, MDPI, vol. 15(13), pages 1-20, June.
    12. Hu, Jinhong & Yang, Jiebin & He, Xianghui & Zeng, Wei & Zhao, Zhigao & Yang, Jiandong, 2023. "Transition of amplitude–frequency characteristic in rotor–stator interaction of a pump-turbine with splitter blades," Renewable Energy, Elsevier, vol. 205(C), pages 663-677.
    13. Li, Zhenggui & Xu, Lixin & Wang, Dong & Li, Deyou & Li, Wangxu, 2023. "Simulation analysis of energy characteristics of flow field in the transition process of pump condition outage of pump-turbine," Renewable Energy, Elsevier, vol. 219(P1).
    14. Hu, Chao & Zhang, Jian & Wu, Tong & Liu, Yi & Xu, Minjie & Chen, Sheng, 2025. "Transient analysis of hydropower station with pressure-regulating valves considering effects of hysteresis and buffering," Energy, Elsevier, vol. 337(C).
    15. Linjun Shi & Fan Yang & Yang Li & Tao Zheng & Feng Wu & Kwang Y. Lee, 2022. "Optimal Configuration of Electrochemical Energy Storage for Renewable Energy Accommodation Based on Operation Strategy of Pumped Storage Hydro," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    16. Wang, Xiu & Yang, Jia-Fu & Huang, Xiao-Wen & Wang, Wen-Quan, 2024. "Using bionic tubercles to control swirling flow instabilities of a hydraulic turbine during the load rejection process," Energy, Elsevier, vol. 311(C).
    17. Lu, Jiahao & Tao, Ran & Yao, Zhifeng & Xiao, Ruofu & Liu, Weichao, 2025. "Transient simulation energy study of fast opening of guide vane during start-up of pump turbine in energy storage mode," Energy, Elsevier, vol. 324(C).
    18. Zhou, Xing & Wu, Hegao & Cheng, Li & Huang, Quanshui & Shi, Changzheng, 2023. "A new draft tube shape optimisation methodology of introducing inclined conical diffuser in hydraulic turbine," Energy, Elsevier, vol. 265(C).
    19. Sun, Jie & Feng, Chen & Zhang, Yuquan & Zheng, Yuan, 2025. "Transient vibration analysis of multi-system coupling in pumped storage power Stations: Insights into cavitation-induced flow and shaft dynamics," Energy, Elsevier, vol. 328(C).
    20. Wang, Wenjie & Guo, Hailong & Zhang, Chenying & Shen, Jiawei & Pei, Ji & Yuan, Shouqi, 2023. "Transient characteristics of PAT in micro pumped hydro energy storage during abnormal shutdown process," Renewable Energy, Elsevier, vol. 209(C), pages 401-412.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:4969-:d:857569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.