IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v216y2021ics036054422032243x.html
   My bibliography  Save this article

Multiphase coupling mechanism of free surface vortex and the vibration-based sensing method

Author

Listed:
  • Li, Lin
  • Tan, Dapeng
  • Wang, Tong
  • Yin, Zichao
  • Fan, Xinghua
  • Wang, Ronghui

Abstract

Multiphase vortex with free surfaces, as a common hydraulic phenomenon, occurs in many industrial processes such as metallurgy refining, chemical extraction, and hydropower station operation. Its internal real-time monitoring is of important significance to improve product quality and yielding rate, increase energy utilization rate, and achieve the safety and high-efficiency industrial production. However, the terrible physical conditions, including high temperature, limited space and surrounding interferences, always restrict the vortex flow field to be detected directly. Aiming at the matters, this paper presents a novel modelling and sensing method for multiphase vortex. Specifically, a mechanical dynamic model based on coupled level-set and volume-of-fluid (CLSVOF) method is set up to analyze the multiphase coupling mechanism. A Flügge equation-based displacement solving method is proposed to reveal the nonlinear vibration regularities. Then, a wavelet transform-based vibration sensing method is presented to identify the vortex critical penetration state. The simulated results show that the performed modelling and solving approaches of free surface vortex have better reveal the multiphase coupling mechanism and the nonlinear vibration characters. Initial disturbance and flow flux dominate the vortex forms and coupling intensities of multiphase coupling phenomenon respectively; the wavelet transform-based vibration sensing method can well recognize the transient distortion attribute.

Suggested Citation

  • Li, Lin & Tan, Dapeng & Wang, Tong & Yin, Zichao & Fan, Xinghua & Wang, Ronghui, 2021. "Multiphase coupling mechanism of free surface vortex and the vibration-based sensing method," Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:energy:v:216:y:2021:i:c:s036054422032243x
    DOI: 10.1016/j.energy.2020.119136
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422032243X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.119136?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ni, Dan & Zhang, Ning & Gao, Bo & Li, Zhong & Yang, Minguan, 2020. "Dynamic measurements on unsteady pressure pulsations and flow distributions in a nuclear reactor coolant pump," Energy, Elsevier, vol. 198(C).
    2. Ahmadi, Mohammad H.B. & Yang, Zhiyin, 2020. "Numerical study of the coupling between the instantaneous blade loading/power of an axial wind turbine and upstream turbulence at high Reynolds numbers," Energy, Elsevier, vol. 207(C).
    3. Saleem, Abdul Samad & Cheema, Taqi Ahmad & Ullah, Rizwan & Ahmad, Sarvat Mushtaq & Chattha, Javed Ahmad & Akbar, Bilal & Park, Cheol Woo, 2020. "Parametric study of single-stage gravitational water vortex turbine with cylindrical basin," Energy, Elsevier, vol. 200(C).
    4. Ahn, Soo-Hwang & Xiao, Yexiang & Wang, Zhengwei & Zhou, Xuezhi & Luo, Yongyao, 2017. "Numerical prediction on the effect of free surface vortex on intake flow characteristics for tidal power station," Renewable Energy, Elsevier, vol. 101(C), pages 617-628.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiaxing Wang & Sibin Gao & Zhejun Tang & Dapeng Tan & Bin Cao & Jing Fan, 2023. "A context-aware recommendation system for improving manufacturing process modeling," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1347-1368, March.
    2. Li, Lin & Li, Qihan & Ni, Yesha & Wang, Chengyan & Tan, Yunfeng & Tan, Dapeng, 2024. "Critical penetrating vibration evolution behaviors of the gas-liquid coupled vortex flow," Energy, Elsevier, vol. 292(C).
    3. Li, Zhixiang & Xu, Hui & Feng, Jiangang & Chen, Huixiang & Kan, Kan & Li, Tianyi & Shen, Lian, 2024. "Fluctuation characteristics induced by energetic coherent structures in air-core vortex: The most complex vortex in the tidal power station intake system," Energy, Elsevier, vol. 288(C).
    4. Li, Lin & Gu, Zeheng & Xu, Weixin & Tan, Yunfeng & Fan, Xinghua & Tan, Dapeng, 2023. "Mixing mass transfer mechanism and dynamic control of gas-liquid-solid multiphase flow based on VOF-DEM coupling," Energy, Elsevier, vol. 272(C).
    5. Li, Lin & Tan, Dapeng & Yin, Zichao & Wang, Tong & Fan, Xinghua & Wang, Ronghui, 2021. "Investigation on the multiphase vortex and its fluid-solid vibration characters for sustainability production," Renewable Energy, Elsevier, vol. 175(C), pages 887-909.

    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. Cao, Jingwei & Luo, Yongyao & Presas, Alexandre & Ahn, Soo-Hwang & Wang, Zhengwei & Huang, Xingxing & Liu, Yan, 2022. "Influence of rotation on the modal characteristics of a bulb turbine unit rotor," Renewable Energy, Elsevier, vol. 187(C), pages 887-895.
    2. Leilei Du & Fankun Zheng & Bo Gao & Mona Gad & Delin Li & Ning Zhang, 2024. "Numerical Investigation of Rotor and Stator Matching Mode on the Complex Flow Field and Pressure Pulsation of a Vaned Centrifugal Pump," Energies, MDPI, vol. 17(10), pages 1-19, May.
    3. Dan Ni & Feifan Wang & Bo Gao & Yang Zhang & Shiyuan Huang, 2022. "Experimental Investigation on the Effect of the Staggered Impeller on the Unsteady Pressure Pulsations Characteristic in a Pump," Energies, MDPI, vol. 15(23), pages 1-15, November.
    4. Ahn, Soo-Hwang & Xiao, Yexiang & Wang, Zhengwei & Zhou, Xuezhi & Luo, Yongyao, 2017. "Performance prediction of a prototype tidal power turbine by using a suitable numerical model," Renewable Energy, Elsevier, vol. 113(C), pages 293-302.
    5. Zi, Dan & Wang, Fujun & Wang, Chaoyue & Huang, Congbin & Shen, Lian, 2021. "Investigation on the air-core vortex in a vertical hydraulic intake system," Renewable Energy, Elsevier, vol. 177(C), pages 1333-1345.
    6. Zhu, Hongtao & Gao, Xueping & Liu, Yinzhu & Liu, Shuai, 2023. "Numerical and experimental assessment of the water discharge segment in a pumped-storage power station," Energy, Elsevier, vol. 265(C).
    7. Chengshuo Wu & Jun Yang & Shuai Yang & Peng Wu & Bin Huang & Dazhuan Wu, 2023. "A Review of Fluid-Induced Excitations in Centrifugal Pumps," Mathematics, MDPI, vol. 11(4), pages 1-20, February.
    8. Morabito, Alessandro & Vagnoni, Elena, 2024. "CFD-based analysis of pumped storage power plants implementing hydraulic short circuit operations," Applied Energy, Elsevier, vol. 369(C).
    9. Huang, Xianbei & Yang, Wei & Li, Yaojun & Qiu, Baoyun & Guo, Qiang & Zhuqing, Liu, 2019. "Review on the sensitization of turbulence models to rotation/curvature and the application to rotating machinery," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 46-69.
    10. Ahn, Soo-Hwang & Tian, Hong & Cao, Jingwei & Duo, Wenzhi & Wang, Zhengwei & Cui, Jianhua & Chen, Lin & Li, Yang & Huang, Guoping & Yu, Yunpeng, 2023. "Hydraulic performances of a bulb turbine with full field reservoir model based on entropy production analysis," Renewable Energy, Elsevier, vol. 211(C), pages 347-360.
    11. Dan Ni & Jinbo Chen & Feifan Wang & Yanjuan Zheng & Yang Zhang & Bo Gao, 2023. "Investigation into Dynamic Pressure Pulsation Characteristics in a Centrifugal Pump with Staggered Impeller," Energies, MDPI, vol. 16(9), pages 1-14, April.
    12. Kan, Kan & Binama, Maxime & Chen, Huixiang & Zheng, Yuan & Zhou, Daqing & Su, Wentao & Muhirwa, Alexis, 2022. "Pump as turbine cavitation performance for both conventional and reverse operating modes: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    13. Shi, Guangtai & Liu, Zongku & Xiao, Yexiang & Wang, Zhengwei & Luo, Yongyao & Luo, Kun, 2020. "Energy conversion characteristics of multiphase pump impeller analyzed based on blade load spectra," Renewable Energy, Elsevier, vol. 157(C), pages 9-23.
    14. Zhenhua Zhou & Huacong Li & Jinbo Chen & Delin Li & Ning Zhang, 2023. "Numerical Simulation on Transient Pressure Pulsations and Complex Flow Structures of a Ultra-High-Speed Centrifugal Pump at Stalled Condition," Energies, MDPI, vol. 16(11), pages 1-17, June.
    15. Li, Huanhuan & Xu, Beibei & Riasi, Alireza & Szulc, Przemyslaw & Chen, Diyi & M'zoughi, Fares & Skjelbred, Hans Ivar & Kong, Jiehong & Tazraei, Pedram, 2019. "Performance evaluation in enabling safety for a hydropower generation system," Renewable Energy, Elsevier, vol. 143(C), pages 1628-1642.
    16. Linghua Kong & Jingwei Cao & Xiangyang Li & Xulei Zhou & Haihong Hu & Tao Wang & Shuxin Gui & Wenfa Lai & Zhongfeng Zhu & Zhengwei Wang & Yan Liu, 2022. "Numerical Analysis on the Hydraulic Thrust and Dynamic Response Characteristics of a Turbine Pump," Energies, MDPI, vol. 15(4), pages 1-15, February.
    17. Li, Chaofan & Song, Yajing & Xu, Long & Zhao, Ning & Wang, Fan & Fang, Lide & Li, Xiaoting, 2022. "Prediction of the interfacial disturbance wave velocity in vertical upward gas-liquid annular flow via ensemble learning," Energy, Elsevier, vol. 242(C).
    18. Yaping Zhao & Jianjun Feng & Zhihua Li & Mengfan Dang & Xingqi Luo, 2022. "Analysis of Pressure Fluctuation of Tubular Turbine under Different Application Heads," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    19. Ning Zhang & Delin Li & Junxian Jiang & Bo Gao & Dan Ni & Anthony Akurugo Alubokin & Wenbin Zhang, 2023. "Experimental Investigation on Velocity Fluctuation in a Vaned Diffuser Centrifugal Pump Measured by Laser Doppler Anemometry," Energies, MDPI, vol. 16(7), pages 1-17, April.
    20. Pu, Kexin & Huang, Bin & Miao, Hongjiang & Shi, Peili & Wu, Dazhuan, 2022. "Quantitative analysis of energy loss and vibration performance in a circulating axial pump," Energy, Elsevier, vol. 243(C).

    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:eee:energy:v:216:y:2021:i:c:s036054422032243x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.