4.7 Article

Role of wall temperature on cavitation bubble collapse near a wall investigated using thermal lattice Boltzmann method

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.icheatmasstransfer.2022.105988

Keywords

Cavitation bubble; Wall temperature; Lattice Boltzmann method; Heat transfer

Funding

  1. National Natural Science Foundation of China [11874140]
  2. State Key Laboratory of Acoustics, and Chinese Academy of Sciences [SKLA201913]
  3. Basic Research Program of Jiangsu Province [BK20200182]
  4. fellowship of China Postdoctoral Science Foundation [2020M671314]

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The thermal lattice Boltzmann method is used to simulate cavitation bubble collapse in heating or cooling systems. The results are consistent with Laplace's law and temperature solutions derived from the Rayleigh-Plesset equation. The effects of wall temperature on a collapsing bubble are studied, and the influence mechanism of the micro-jet and the cavitation bubble itself on solid-wall heat transfer, as well as the thermodynamic behavior characteristics of the cavitation bubble collapse near the wall, are obtained. The study also introduces a dimensionless temperature parameter to analyze the heat transfer intensity of the model.
The thermal lattice Boltzmann method can be adopted to simulate cavitation bubble collapse in heating or cooling systems. The numerical results satisfy Laplace's law and are consistent with temperature solutions derived from the Rayleigh-Plesset equation. In this paper, in order to study the effects of wall temperature on a collapsing bubble, a calculation model for a cavitation bubble near the heated/cooled wall is established. The influence mechanism of the micro-jet and the cavitation bubble itself on the solid-wall heat transfer, and the thermodynamic behavior characteristics of the cavitation bubble collapse near the wall are obtained. Adjusting the wall temperature T-w also affects the thermal effects of cavitation. Furthermore, A dimensionless temperature parameter eta is introduced to study the heat transfer intense of the model. The influence of lambda, delta p and R-0 on the heat transfer intense are studied and analyzed. The results show that the optimal lambda, delta p, R-0 and T-w values can be used to enhance heat transfer and realize heating or cooling treatment of different surfaces.

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