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3D model for inertial cavitation bubble dynamics in binary immiscible fluids.

Authors :
Li, Shuai
Zhang, A-Man
Han, Rui
Source :
Journal of Computational Physics. Dec2023, Vol. 494, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The physics of cavitation bubbles in water has been extensively studied for over a century. However, our understanding of bubble dynamics in binary immiscible fluids, such as a water-oil system, is limited. These systems have recently gained a lot of interest due to their relevance in modern medical treatment, emulsification, and the food industry. In this study, we establish an accurate and inexpensive three-dimensional boundary integral (BI) model for inertial cavitation bubble dynamics in binary immiscible fluid systems. Our novel scheme for solving velocities on the flow boundaries, expressed in a matrix form, can be easily extended to complex situations where multiple bubbles are generated in different phases. Additionally, we employ a density potential method and a weighted moving least-squares method to maintain a high level of mesh regularity. Our results demonstrate that the proposed 3D model is comparable in accuracy to a 3D axisymmetric model by comparing it against analytical solutions and the results obtained from an axisymmetric model. Furthermore, we compare our numerical simulations against a purposely conducted experiment for the bubble-droplet interaction, and excellent agreement is achieved. For the first time, we present simulation results of two-bubble interactions with an initially flat fluid-fluid interface and inside a droplet surrounded by a second fluid. We also reveal the dependences of the two-bubble morphologies, flow patterns, and jet velocities on the density ratio between the two phases. Finally, we find a significant difference in the mechanism of fluid mixing by multiple bubbles compared to that of a single bubble case. • We established a 3D model for inertial bubbles in binary immiscible fluids. • Our 3D model has shown comparable accuracy to an axisymmetric model. • We reproduce the essential physics in an experiment of bubble-droplet interaction. • We unveil novel fluid-mixing mechanisms with multiple bubbles. • We explore the dependencies of two-bubble interactions on the density ratio. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00219991
Volume :
494
Database :
Academic Search Index
Journal :
Journal of Computational Physics
Publication Type :
Academic Journal
Accession number :
173174335
Full Text :
https://doi.org/10.1016/j.jcp.2023.112508