Numerical analysis of nucleation effects on cloud cavitation using multiscale Euler–Lagrange model

This study develops a hybrid multiscale Euler–Lagrange model to investigate the unsteady characteristics of cloud cavitation around a hydrofoil under different water qualities. A homogeneous mixture model is implemented for macroscopic cavity simulations, tracking the vapor–liquid interfaces. In the Lagrangian framework, the dynamics and motion of nuclei and bubbles are resolved. By incorporating more physically accurate conversion criteria to couple the two frameworks, the cavitation model is modified to ensure consistency with the assumption that cavitation inception arises from the expansion of nuclei. Numerical results, obtained under different size distributions of nuclei populations, align well with experimental data, validating the capability of the multiscale model to account for the effects of water quality. They also offer detailed insights into the influence of cavitation flows on microscale bubble behavior, particularly highlighting the significant role of reentry jets in bubble generation and motion. The results underscore the critical interplay between small-scale bubble dynamics and macroscopic cavitation flows. In addition, a statistical analysis of the size distribution of microbubbles reveals a distribution law consistent with experimental observations. This study provides a robust framework for investigating the comprehensive effects of water quality on cloud cavitation flows, offering a promising avenue for future research in this domain.

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Publication Details

Journal
Physics of Fluids
Published
2025-02-01
DOI
https://doi.org/10.1063/5.0249952
Citations
1
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.86

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article

Numerical analysis of nucleation effects on cloud cavitation using multiscale Euler–Lagrange model

Xueming Shao, Jian Deng, Yihong Chen, Ben Zhang et al.
1 citations
Physics of Fluids
Cavitation Phenomena in Pumps
0.86
article

Numerical analysis of nucleation effects on cloud cavitation using multiscale Euler–Lagrange model

Xueming Shao, Jian Deng, Yihong Chen, Ben Zhang, Xinzhen Qin
article en
1 citations

Abstract

This study develops a hybrid multiscale Euler–Lagrange model to investigate the unsteady characteristics of cloud cavitation around a hydrofoil under different water qualities. A homogeneous mixture model is implemented for macroscopic cavity simulations, tracking the vapor–liquid interfaces. In the Lagrangian framework, the dynamics and motion of nuclei and bubbles are resolved. By incorporating more physically accurate conversion criteria to couple the two frameworks, the cavitation model is modified to ensure consistency with the assumption that cavitation inception arises from the expansion of nuclei. Numerical results, obtained under different size distributions of nuclei populations, align well with experimental data, validating the capability of the multiscale model to account for the effects of water quality. They also offer detailed insights into the influence of cavitation flows on microscale bubble behavior, particularly highlighting the significant role of reentry jets in bubble generation and motion. The results underscore the critical interplay between small-scale bubble dynamics and macroscopic cavitation flows. In addition, a statistical analysis of the size distribution of microbubbles reveals a distribution law consistent with experimental observations. This study provides a robust framework for investigating the comprehensive effects of water quality on cloud cavitation flows, offering a promising avenue for future research in this domain.

Physics of FluidsVol. 37(2)
Wuhan Ship Development & Design Institute (CN), Wuxi Taihu Hospital (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 35%
Cavitation Phenomena in Pumps
0.86
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Numerical analysis of nucleation effects on cloud cavitation using multiscale Euler–Lagrange model — Xueming Shao, Jian Deng, et al. · Physics of Fluids (2025) | TGRS Research Map | TGRS