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A modified approach to the bubble-bubble interaction-based cavitation model for improved mass transfer prediction in unsteady cavitating flows

  • Beijing Institute of Technology
  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

In cavitating flows, the collective dynamics of bubble clusters differ fundamentally from those of isolated bubbles due to intense bubble-bubble interactions (BBI). Conventional cavitation models, usually based on the single-bubble hypothesis, overlook these interaction mechanisms. This omission results in overestimation of phase transition rates and inaccuracies in predicting unsteady shedding dynamics. A new mass-transfer model is developed within the transport-equation framework by accounting for BBI effects. This is achieved by utilizing a modified Rayleigh-Plesset equation that explicitly incorporates the pressure shielding effect from neighboring bubbles. The interaction range parameters for growth ((Formula presented) ) and collapse ((Formula presented) ) are theoretically derived and calibrated against discrete bubble cluster simulations, a process that eliminates the need for case-specific empirical tuning. The proposed model is implemented in OpenFOAM and validated against experimental data from two-dimensional (2D) flow over a Clark-Y hydrofoil and three-dimensional (3D) flow past a wedge-shaped bluff body. Compared with the Schnerr-Sauer model, the proposed model does not require adjustable parameters and significantly improves the prediction accuracy of hydrodynamic loads while accurately capturing complex unsteady features, such as re-entrant jet dynamics and Strouhal numbers associated with cloud shedding. This work offers a physical approach to bridging microscopic bubble interactions and macroscopic cavitating flow simulations. Future refinements of this interaction-based model could incorporate dynamic variations in bubble population and non-spherical deformations to further broaden its predictive scope.

源语言英语
期刊论文编号127973
期刊Ocean Engineering
卷367
DOI
出版状态已出版 - 30 10月 2026
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