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Optimization of a centrifugal pump to improve hydraulic efficiency and reduce hydro-induced vibration

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  • Zhang, Liwen
  • Wang, Xin
  • Wu, Peng
  • Huang, Bin
  • Wu, Dazhuan

Abstract

To improve hydraulic efficiency and reduce hydro-induced vibration of centrifugal pump, this paper proposes an optimization method based on Kriging surrogate model and optimal searching algorithm (NSGA-II) with a validated numerical simulation. The distributions of blade thickness and blade angles on the hub and shroud surface along streamwise are controlled by spline curves with several points. In order to improve the efficiency of optimization process, a steady indicator is introduced to characterize the intensity of unsteady pressure pulsation and numerical simulation of four group pumps are conducted to verify its reliability. Optimization results show that the hydraulic efficiency is increased by 4.19% and the pressure pulsation amplitude at blade passing frequency (fBPF) is significantly reduced at design condition after optimization, which is ultimately reflected in a 62.59% reduction in vibration acceleration at fBPF. Besides, the internal flow analysis is conducted to illustrate the effects of impeller modification. Results show that the unsteady flow structure in the pump is reduced due to the blade profile optimization, which ultimately leads to the high comprehensive performance.

Suggested Citation

  • Zhang, Liwen & Wang, Xin & Wu, Peng & Huang, Bin & Wu, Dazhuan, 2023. "Optimization of a centrifugal pump to improve hydraulic efficiency and reduce hydro-induced vibration," Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223000713
    DOI: 10.1016/j.energy.2023.126677
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    References listed on IDEAS

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    1. Bozorgasareh, Hamidreza & Khalesi, Javad & Jafari, Mohammad & Gazori, Heshmat Olah, 2021. "Performance improvement of mixed-flow centrifugal pumps with new impeller shrouds: Numerical and experimental investigations," Renewable Energy, Elsevier, vol. 163(C), pages 635-648.
    2. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    3. Wu, Chengshuo & Pu, Kexin & Li, Changqin & Wu, Peng & Huang, Bin & Wu, Dazhuan, 2022. "Blade redesign based on secondary flow suppression to improve energy efficiency of a centrifugal pump," Energy, Elsevier, vol. 246(C).
    4. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    5. Huang, Renfang & Zhang, Zhen & Zhang, Wei & Mou, Jiegang & Zhou, Peijian & Wang, Yiwei, 2020. "Energy performance prediction of the centrifugal pumps by using a hybrid neural network," Energy, Elsevier, vol. 213(C).
    6. Bai, Ling & Yang, Yang & Zhou, Ling & Li, Yuanzhe & Xiao, Yu & Shi, Weidong, 2022. "Optimal design and performance improvement of an electric submersible pump impeller based on Taguchi approach," Energy, Elsevier, vol. 252(C).
    7. Sonawat, Arihant & Kim, Sung & Ma, Sang-Bum & Kim, Seung-Jun & Lee, Ju Beak & Yu, Myo Suk & Kim, Jin-Hyuk, 2022. "Investigation of unsteady pressure fluctuations and methods for its suppression for a double suction centrifugal pump," Energy, Elsevier, vol. 252(C).
    8. Lin, Yanpi & Li, Xiaojun & Zhu, Zuchao & Wang, Xunming & Lin, Tong & Cao, Haibin, 2022. "An energy consumption improvement method for centrifugal pump based on bionic optimization of blade trailing edge," Energy, Elsevier, vol. 246(C).
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    Cited by:

    1. 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).
    2. Tomasz Siwulski, 2023. "Experimental Tests on the Influence of Accumulated Pressure Energy on the Response Time of a Hydraulic Cylinder under External Load Actuated in a Classic and Distributed System Structure," Energies, MDPI, vol. 16(23), pages 1-12, November.
    3. Yuan, Zhiyi & Zhang, Yongxue & Zhou, Wenbo & Zhang, Jinya & Zhu, Jianjun, 2024. "Optimization of a centrifugal pump with high efficiency and low noise based on fast prediction method and vortex control," Energy, Elsevier, vol. 289(C).

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