Application of a new cavitation model for computations of unsteady turbulent cavitating flows around a hydrofoil
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- 作者：Feng Hong ; Jianping Yuan ; Banglun Zhou
- 关键词：Sheet/cloud cavitation ; Hydrofoil ; R ; P equation ; FBDCM ; Numerical modeling
- 刊名：Journal of Mechanical Science and Technology
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：1
- 页码：249-260
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Mechanical Engineering; Vibration, Dynamical Systems, Control; Industrial and Production Engineering;
- 出版者：Korean Society of Steel Construction
- ISSN：1976-3824
- 卷排序：31
文摘
In the present work, a cavitation model based on a new truncated form of the full Rayleigh-Plesset (R-P) equation for the source terms controlling vapor generation and destruction has been developed and implemented in the ANSYS FLUENT platform. Coupled with a Filter-based density corrected model (FBDCM), the cavitating flow over a 2-D Clark-Y hydrofoil is investigated numerically with particular emphasis on understanding the effect of cavitation structures and the shedding dynamics on the hydrodynamics coefficients and surrounding flow velocity structures. The hydrofoil has a fixed angle of attack of α = 8° with a moderate Reynolds number of Re = 7.0×105. Simulations have been carried out for various cavitation numbers ranging from non-cavitating flows to the cloud cavitation regime (σ = 0.80). In particular, we compared the lift and drag coefficients, the cavitation dynamics and the time-averaged velocity with available experimental data for two cavitation models, i.e. the proposed model and Schnerr-Sauer model. The comparisons between the numerical and experimental results show that the proposed model has a better capability than Schnerr-Sauer model to capture the characteristics of lift and drag coefficients under cavitation conditions. Meanwhile, the proposed model is sufficiently robust to predict the initiation of the sheet/cloud cavity, growth towards the trailing edge, and subsequent shedding downstream, which is in accordance with the experimental quantitative features in literature.