Numerical analysis of interaction between turbulent structures and transient sheet/cloud cavitation

物理 湍流 空化 涡流 机械 诱捕 湍流动能 涡流管 旋涡伸展 旋涡脱落 汉堡漩涡 涡度 经典力学 雷诺数
作者
Beichen Tian,Jie Chen,Xin Zhao,Mengjie Zhang,Biao Huang
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:34 (4) 被引量:12
标识
DOI:10.1063/5.0085072
摘要

This paper through the in-house code numerically examines the cavitation–vortex–turbulence interaction mechanism. The high grid resolution can obtain a more detailed flow field structure, which is helpful to reveal the relationship between cavitation occurrence and development and local turbulent flow field. Results are presented for a three-dimensional NACA66 hydrofoil fixed at an 8° angle of attack under a moderate Reynolds number of 1 × 106 and sheet/cloud cavitating conditions. Numerical simulations are performed via the boundary data immersion method coupled with the artificial compressibility method through a Fortran-based code. The results show that the numerical predictions are capable of capturing the unsteady cavitation characteristics, in accordance with the quantitative features observed in high-speed cavitation tunnel experiments. The evolution of the transient cavitating flow can be divided into three stages: growth of the attached sheet cavity, development of a re-entrant jet, and cloud shedding downstream. The Liutex method is applied to capture the vortex structure. Further analysis of the process of enstrophy transport reveals that cavitation promotes vortex production and increases the enstrophy as the cavity becomes more unstable. Moreover, the structure of the vortex gradually evolves from a vortex tube to a U-type vortex, Ω-type vortex, and streamwise vortex. Finally, the interaction between cavitation and turbulence is expounded using the turbulent energy transport equation, which demonstrates that cavitation promotes the production, diffusion, and dissipation of turbulent kinetic energy, while the viscous transport term only acts during the process of cloud cavity shedding.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
aaa发布了新的文献求助10
2秒前
合适秋翠发布了新的文献求助10
2秒前
2秒前
大模型应助小石采纳,获得10
3秒前
aaa发布了新的文献求助10
3秒前
zzh完成签到 ,获得积分10
3秒前
4秒前
传奇3应助阔达乐萱采纳,获得10
4秒前
5秒前
田様应助yang采纳,获得10
5秒前
小叶子的太阳完成签到,获得积分10
5秒前
欧阳铭发布了新的文献求助10
5秒前
7秒前
F二次方应助木木采纳,获得10
7秒前
7秒前
阿秋应助木木采纳,获得10
8秒前
香蕉觅云应助木木采纳,获得10
8秒前
8秒前
章德仁发布了新的文献求助200
8秒前
郝憨憨发布了新的文献求助10
10秒前
调皮语雪完成签到 ,获得积分10
10秒前
YX发布了新的文献求助10
11秒前
11秒前
小马甲应助夏天的西瓜采纳,获得10
12秒前
12秒前
郝憨憨完成签到,获得积分10
14秒前
15秒前
15秒前
英俊绝义完成签到,获得积分10
17秒前
yang发布了新的文献求助10
18秒前
19秒前
tubby发布了新的文献求助10
20秒前
22秒前
科研通AI2S应助大紫衣腰果采纳,获得10
24秒前
24秒前
单纯菠萝完成签到,获得积分10
25秒前
斤斤发布了新的文献求助10
26秒前
哈哈完成签到,获得积分20
28秒前
FashionBoy应助合适秋翠采纳,获得10
28秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6349508
求助须知:如何正确求助?哪些是违规求助? 8164407
关于积分的说明 17178412
捐赠科研通 5405789
什么是DOI,文献DOI怎么找? 2862289
邀请新用户注册赠送积分活动 1839951
关于科研通互助平台的介绍 1689142