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Performance Prediction Based on Effects of Wrapping Angle of a Side Channel Pump

Author

Listed:
  • Ji Pei

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Fan Zhang

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
    Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Desmond Appiah

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Bo Hu

    (Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Shouqi Yuan

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Ke Chen

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Stephen Ntiri Asomani

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

Abstract

This paper seeks to predict the performance of the side channel pump by considering the influences of different wrapping angles. Firstly, three pump cases 1, 2 and 3 are modeled with wrapping angles 15°, 30° and 45°, respectively. Secondly, different physical parameters comprising exchanged mass flow, pressure and velocity distributions are plotted at the best efficiency point ( Q BEP ) to analyze the internal flow characteristics. Since the flow exchange times depend on the size of the wrapping angle, the size of the wrapping angle has significant effects on the pump head performance. Case 1 with the smallest wrapping angle recorded the largest head improvement at all operating conditions compared to case 2 and case 3. Case 1 at Q BEP attained a head coefficient increase of about 9.8% and 38.6% compared to that of case 2 and case 3, respectively. However, the size of the wrapping angle had a slight effect on the pump efficiency; thus, case 1 still predicted a marginal increase in efficiency compared to case 2 and case 3 at all operating conditions. Lastly, the numerical simulations were validated with experimental data after manufacturing pump case 2.

Suggested Citation

  • Ji Pei & Fan Zhang & Desmond Appiah & Bo Hu & Shouqi Yuan & Ke Chen & Stephen Ntiri Asomani, 2019. "Performance Prediction Based on Effects of Wrapping Angle of a Side Channel Pump," Energies, MDPI, vol. 12(1), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:1:p:139-:d:194313
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    References listed on IDEAS

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    1. Zhang, Fan & Appiah, Desmond & Zhang, Jinfeng & Yuan, Shouqi & Osman, Majeed Koranteng & Chen, Ke, 2018. "Transient flow characterization in energy conversion of a side channel pump under different blade suction angles," Energy, Elsevier, vol. 161(C), pages 635-648.
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    Cited by:

    1. Fan Zhang & Ke Chen & Lufeng Zhu & Desmond Appiah & Bo Hu & Shouqi Yuan, 2020. "Gas–Liquid Two-Phase Flow Investigation of Side Channel Pump: An Application of MUSIG Model," Mathematics, MDPI, vol. 8(4), pages 1-25, April.
    2. Fan Zhang & Ke Chen & Desmond Appiah & Bo Hu & Shouqi Yuan & Stephen Ntiri Asomani, 2019. "Numerical Delineation of 3D Unsteady Flow Fields in Side Channel Pumps for Engineering Processes," Energies, MDPI, vol. 12(7), pages 1-24, April.
    3. Ohiemi, Israel Enema & Sunsheng, Yang & Singh, Punit & Li, Yanjun & Osman, Fareed, 2023. "Evaluation of energy loss in a low-head axial flow turbine under different blade numbers using entropy production method," Energy, Elsevier, vol. 274(C).
    4. Li, Xiaojun & Chen, Hui & Chen, Bo & Luo, Xianwu & Yang, Baofeng & Zhu, Zuchao, 2020. "Investigation of flow pattern and hydraulic performance of a centrifugal pump impeller through the PIV method," Renewable Energy, Elsevier, vol. 162(C), pages 561-574.
    5. Xingcheng Gan & Wenjie Wang & Ji Pei & Shouqi Yuan & Yajing Tang & Majeed Koranteng Osman, 2020. "Direct Shape Optimization and Parametric Analysis of a Vertical Inline Pump via Multi-Objective Particle Swarm Optimization," Energies, MDPI, vol. 13(2), pages 1-18, January.
    6. Feroskhan M. & Sreekanth M. & Karunamurthy K. & Sivakumar R. & Nazaruddin Sinaga & T. M. Yunus Khan, 2022. "Regression-Analysis-Based Empirical Correlations to Design Regenerative Flow Machines," Energies, MDPI, vol. 15(11), pages 1-23, May.
    7. Shi, Guangtai & Liu, Zongku & Xiao, Yexiang & Yang, Hong & Li, Helin & Liu, Xiaobing, 2020. "Effect of the inlet gas void fraction on the tip leakage vortex in a multiphase pump," Renewable Energy, Elsevier, vol. 150(C), pages 46-57.
    8. Shi, Guangtai & Liu, Zongku & Xiao, Yexiang & Li, Helin & Liu, Xiaobing, 2020. "Tip leakage vortex trajectory and dynamics in a multiphase pump at off-design condition," Renewable Energy, Elsevier, vol. 150(C), pages 703-711.

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