Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Jalan Tungku Link Gadong, Bandar Seri Begawan BE1410, Brunei Darussalam.
Ultrason Sonochem. 2023 Jul;97:106446. doi: 10.1016/j.ultsonch.2023.106446. Epub 2023 May 19.
We have employed the large eddy simulation (LES) approach to investigate the cavitation noise characteristics of an unsteady cavitating flow around a NACA66 (National Advisory Committee for Aeronautics) hydrofoil by employing an Eulerian-Lagrangian based multiscale cavitation model. A volume of fluid (VOF) method simulates the large cavity, whereas a Lagrangian discrete bubble model (DBM) tracks the small bubbles. Meanwhile, noise is determined using the Ffowcs Williams-Hawkings equation (FW-H). Eulerian-Lagrangian analysis has shown that, in comparison to VOF, it is more effective in revealing microscopic characteristics of unsteady cavitating flows, including microscale bubbles, that are unresolvable around the cloud cavity, and their impact on the flow field. It is also evident that its evolution of cavitation features on the hydrofoil is more consistent with the experimental observations. The frequency of the maximum sound pressure level corresponds to the frequency of the main cavity shedding for the noise characteristics. Using the Eulerian-Lagrangian method to predict the noise signal, results show that the cavitation noise, generated by discrete bubbles due to their collapse, is mainly composed of high-frequency signals. In addition, the frequency of cavitation noise induced by discrete microbubbles is around 10 kHz. A typical characteristic of cavitation noise, including two intense pulses during the collapsing of the cloud cavity, is described, as well as the mechanisms that underlie these phenomena. The findings of this work provide for a fundamental understanding of cavitation and serve as a valuable reference for the design and intensification of hydrodynamic cavitation reactors.
我们采用大涡模拟(LES)方法,通过基于欧拉-拉格朗日的多尺度空化模型,研究了 NACA66(美国国家航空咨询委员会)水翼非定常空化流的空化噪声特性。采用体积法(VOF)模拟大空腔,而拉格朗日离散空泡模型(DBM)跟踪小空泡。同时,采用 Ffowcs Williams-Hawkings 方程(FW-H)确定噪声。欧拉-拉格朗日分析表明,与 VOF 相比,它更有效地揭示了非定常空化流的微观特性,包括在云空化周围不可分辨的微尺度空泡及其对流场的影响。显然,它对水翼空化特征的演变与实验观察更为一致。最大声压级的频率对应于噪声特征中主空泡脱落的频率。采用欧拉-拉格朗日方法预测噪声信号的结果表明,由于离散空泡的塌缩而产生的空化噪声主要由高频信号组成。此外,离散微空泡引起的空化噪声的频率约为 10 kHz。描述了空化噪声的典型特征,包括云空化塌缩过程中的两个强脉冲,以及这些现象的形成机制。这项工作的研究结果为空化提供了基本的认识,并为水动力空化反应器的设计和强化提供了有价值的参考。