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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
从新发布了新的文献求助10
2秒前
小羊完成签到 ,获得积分10
3秒前
万能图书馆应助光亮白羊采纳,获得30
3秒前
JackLL完成签到,获得积分10
4秒前
科yt完成签到,获得积分10
6秒前
毛毛完成签到,获得积分10
6秒前
和谐的修洁完成签到,获得积分10
7秒前
野性的曼香完成签到,获得积分10
7秒前
9秒前
流浪汉发布了新的文献求助10
12秒前
12秒前
哈哈哈大赞发布了新的文献求助200
14秒前
15秒前
17秒前
JackLL发布了新的文献求助10
17秒前
Ava应助xin采纳,获得30
18秒前
负责蜜蜂发布了新的文献求助10
18秒前
站在桥上看风景完成签到,获得积分10
19秒前
19秒前
大善人发布了新的文献求助10
20秒前
流浪汉完成签到,获得积分10
20秒前
21秒前
21秒前
霜之哀伤完成签到,获得积分20
23秒前
23秒前
Youtenter完成签到 ,获得积分10
24秒前
何仁杰完成签到 ,获得积分10
25秒前
阿王完成签到,获得积分10
25秒前
英姑应助Two-Capitals采纳,获得10
25秒前
25秒前
lihaifeng发布了新的文献求助10
26秒前
26秒前
Neverlocked发布了新的文献求助10
27秒前
霜之哀伤发布了新的文献求助10
27秒前
SciGPT应助KwanhomL采纳,获得10
27秒前
思源应助张鑫采纳,获得10
31秒前
32秒前
rudjs完成签到,获得积分10
33秒前
Neverlocked完成签到,获得积分10
35秒前
35秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2547739
求助须知:如何正确求助?哪些是违规求助? 2176358
关于积分的说明 5603783
捐赠科研通 1897122
什么是DOI,文献DOI怎么找? 946662
版权声明 565412
科研通“疑难数据库(出版商)”最低求助积分说明 503895