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Investigation on the multiphase vortex and its fluid-solid vibration characters for sustainability production

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

Abstract

Real-time monitoring of the vortex flow field has vital significance for industrial processes, including metallurgy refining, rocket fuel system, and hydropower station operation. It can improve the yield rate and resource utilization and ensure high-efficiency sustainability production. However, the formation mechanism of a multiphase vortex, involving the dynamic tracking of multi-layer interface, critical multiphase coupling, and fluid-solid vibration wave transition, is still unclear. To address these matters, a numerical modeling-solving method for a multiphase vortex is proposed. With the coupled level-set and volume-of-fluid (CLSVOF) method, a fluid mechanic model is built up to acquire the interface evolution laws and multiphase coupling mechanism. A fluid-solid vibration dynamic model is conducted, and a displacement solution method with Flügge equations is presented to reveal vibration wave transition mechanism. A mesh updating method with spring smoothing and local reconstruction is presented to optimize the numerical process. Numerical results demonstrate that a critical penetrating state contains multiple solutions with the initial disturbance; the coupling energy shock induces a pressure oscillation phenomenon and appears intensive vibration with higher amplitudes and wider frequency bands. At the critical penetrating stage, the vibration signal takes on a transient distortion character, and its nonlinear shock components concentrate in the frequency range of 45–50 Hz.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:175:y:2021:i:c:p:887-909
    DOI: 10.1016/j.renene.2021.05.027
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    References listed on IDEAS

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    2. 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.
    3. 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).

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