Abstract

Cavitation bubble collapse near rough solid wall is modeled by the multi-relaxation-time (MRT) pseudopotential lattice Boltzmann (LB) model. The modified forcing scheme, which can achieve LB model’s thermodynamic consistency by tuning a parameter related with the particle interaction range, is adopted to achieve desired stability and density ratio. The bubble collapse near rough solid wall was simulated by the improved MRT pseudopotential LB model. The mechanism of bubble collapse is studied by investigating the bubble profiles, pressure field and velocity field evolution. The eroding effects of collapsing bubble are analyzed in details. It is found that the process and the effect of the interaction between bubble collapse and rough solid wall are affected seriously by the geometry of solid boundary. At the same time, it demonstrates that the MRT pseudopotential LB model is a potential tool for the investigation of the interaction mechanism between the collapsing bubble and complex geometry boundary.

Highlights

  • Cavitation is ubiquitous in liquid, and happens when the local pressure is below the saturated vapor pressure

  • Cavitation bubble collapse near rough solid wall is modeled by the multi- relaxation-time (MRT) pseudopotential lattice Boltzmann (LB) model

  • It is found that the process and the effect of the interaction between bubble collapse and rough solid wall are affected seriously by the geometry of solid boundary

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Summary

Introduction

Cavitation is ubiquitous in liquid, and happens when the local pressure is below the saturated vapor pressure. As too many phenomena are involved, theoretical model of cavitation bubble collapse is difficult to be established, and for complex geometry boundary, the analytical solution is even impossible. Used numerical methods include the finite volume method (FVM) [4], the finite element method (FEM) [7], and the boundary element method (BEM) [8]. These macroscopic numerical modeling methods based on solving partial differential equations are limited in processing the multiphase flows and complex geometry boundary conditions. For the complex geometry boundary, it is difficult and inefficient to implement by macroscopic methods

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