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

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  • 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
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    References listed on IDEAS

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    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.
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    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 & 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).
    3. 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.

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