IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1598-d755112.html
   My bibliography  Save this article

Study on Fiber Clogging Mechanism in Sewage Pump Based on CFD–DEM Simulation

Author

Listed:
  • Shuihua Zheng

    (Institute of Process Equipment and Control Engineering, College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Chaojie Yang

    (Institute of Process Equipment and Control Engineering, College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Chaoshou Yan

    (Institute of Process Equipment and Control Engineering, College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Min Chai

    (Institute of Process Equipment and Control Engineering, College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
    State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China)

  • Zenan Sun

    (Institute of Process Equipment and Control Engineering, College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

A large number of solid particles and fibrous impurities are always entrained in the fluid transported by a sewage pump, which can easily lead to the blockage of the sewage pump. In view of this, CFD–DEM simulations were conducted in this paper to reveal the fiber clogging mechanism in the sewage pump. A CFD–DEM coupling method with a fiber model was established and verified by an experimental benchmark, i.e., the rectangular flow channel. The method was then applied to a model sewage pump to, after mesh independence tests, analyze the effects of flow rate and fiber length on fiber motion and clogging. The results showed that the position of fiber retention coincides with the position of the vortex, mainly located at the inlet of the impeller, the head of the blade, the middle of the blade, and the tongue in the pump. In the case of a low flow rate, the fiber was more likely to cause blockage in the head of the blade, and in the case of a large flow rate, the fiber would wind around the tongue in the pump. At the same flow rate, long fiber was more likely to stay on the blade’s suction surface.

Suggested Citation

  • Shuihua Zheng & Chaojie Yang & Chaoshou Yan & Min Chai & Zenan Sun, 2022. "Study on Fiber Clogging Mechanism in Sewage Pump Based on CFD–DEM Simulation," Energies, MDPI, vol. 15(5), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1598-:d:755112
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1598/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/5/1598/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheng Tang & You-Chao Yang & Peng-Zhan Liu & Youn-Jea Kim, 2021. "Prediction of Abrasive and Impact Wear Due to Multi-Shaped Particles in a Centrifugal Pump via CFD-DEM Coupling Method," Energies, MDPI, vol. 14(9), pages 1-15, April.
    2. Cheng Tang & Youn-Jea Kim, 2020. "CFD-DEM Simulation for the Distribution and Motion Feature of Solid Particles in Single-Channel Pump," Energies, MDPI, vol. 13(19), pages 1-12, September.
    3. Giorgia Tomassi & Pietro Romano & Gabriele Di Giacomo, 2021. "Modern Use of Water Produced by Purification of Municipal Wastewater: A Case Study," Energies, MDPI, vol. 14(22), pages 1-13, November.
    4. Xiaoke He & Yingchong Zhang & Chuan Wang & Congcong Zhang & Li Cheng & Kun Chen & Bo Hu, 2020. "Influence of Critical Wall Roughness on the Performance of Double-Channel Sewage Pump," Energies, MDPI, vol. 13(2), pages 1-20, January.
    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. Tadeusz Dziubak & Leszek Bąkała, 2021. "Computational and Experimental Analysis of Axial Flow Cyclone Used for Intake Air Filtration in Internal Combustion Engines," Energies, MDPI, vol. 14(8), pages 1-28, April.
    2. Gabriele Di Giacomo, 2021. "Material and Energy Recovery from the Final Disposal of Organic Waste," Energies, MDPI, vol. 14(24), pages 1-2, December.
    3. Weixuan Jiao & Di Zhang & Chuan Wang & Li Cheng & Tao Wang, 2020. "Unsteady Numerical Calculation of Oblique Submerged Jet," Energies, MDPI, vol. 13(18), pages 1-13, September.
    4. Lijian Shi & Jun Zhu & Fangping Tang & Chuan Wang, 2020. "Multi-Disciplinary Optimization Design of Axial-Flow Pump Impellers Based on the Approximation Model," Energies, MDPI, vol. 13(4), pages 1-19, February.
    5. Bowen Zhang & Li Cheng & Chunlei Xu & Mo Wang, 2021. "The Influence of Geometric Parameters of Pump Installation on the Hydraulic Performance of a Prefabricated Pumping Station," Energies, MDPI, vol. 14(4), pages 1-15, February.
    6. Wan Zhang & Ruihao Shen & Ning Xu & Haoran Zhang & Yongtu Liang, 2020. "Study on Optimization of Active Control Schemes for Considering Transient Processes in the Case of Pipeline Leakage," Energies, MDPI, vol. 13(7), pages 1-16, April.
    7. Yaguang Heng & Bo Hu & Qifeng Jiang & Zhengwei Wang & Xiaobing Liu, 2020. "Stall Mode Transformation in the Wide Vaneless Diffuser of Centrifugal Compressors," Energies, MDPI, vol. 13(22), pages 1-14, November.
    8. Hongliang Wang & Bing Long & Chuan Wang & Chen Han & Linjian Li, 2020. "Effects of the Impeller Blade with a Slot Structure on the Centrifugal Pump Performance," Energies, MDPI, vol. 13(7), pages 1-17, April.
    9. Zhang, Di & Jiao, Weixuan & Cheng, Li & Xia, Chenzhi & Zhang, Bowen & Luo, Can & Wang, Chuan, 2021. "Experimental study on the evolution process of the roof-attached vortex of the closed sump," Renewable Energy, Elsevier, vol. 164(C), pages 1029-1038.
    10. Kan Kan & Qingying Zhang & Yuan Zheng & Hui Xu & Zhe Xu & Jianwei Zhai & Alexis Muhirwa, 2022. "Investigation into Influence of Wall Roughness on the Hydraulic Characteristics of an Axial Flow Pump as Turbine," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    11. Jiaxing Lu & Xiaobing Liu & Yongzhong Zeng & Baoshan Zhu & Bo Hu & Hong Hua, 2020. "Investigation of the Noise Induced by Unstable Flow in a Centrifugal Pump," Energies, MDPI, vol. 13(3), pages 1-22, January.
    12. Zihan Liu & Huaqing Ma & Yongzhi Zhao, 2021. "CFD-DEM Simulation of Fluidization of Polyhedral Particles in a Fluidized Bed," Energies, MDPI, vol. 14(16), pages 1-19, August.
    13. Hongliang Wang & Zhongdong Qian & Di Zhang & Tao Wang & Chuan Wang, 2020. "Numerical Study of the Normal Impinging Water Jet at Different Impinging Height, Based on Wray–Agarwal Turbulence Model," Energies, MDPI, vol. 13(7), pages 1-15, April.

    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:5:p:1598-:d:755112. 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.