Characteristics of tip leakage flow inside the tip clearance of an axial compressor

涡流 物理 机械 后缘 轴流压缩机 前沿 叶尖间隙 流量(数学) 粒子图像测速 流动可视化 泄漏(经济) 气体压缩机 流速 上游(联网) 内部流动 横截面 结构工程 工程类 湍流 宏观经济学 电信 经济 热力学
作者
Z. Liao,Zhiliang Xue,Shen Jian,Yonggang Zhou,Qiwen Jin,Xuecheng Wu
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:37 (3)
标识
DOI:10.1063/5.0256703
摘要

The study of flow field characteristics inside the tip clearance is essential for understanding tip leakage flow (TLF) generation mechanisms. This paper investigates the TLF flow field in a single-stage axial compressor using a particle image velocimetry visualization system, alongside proper orthogonal decomposition and omega vortex identification methods, to analyze the flow at the mid-axial cross section under varying rotational speeds. The results reveal that the time-averaged flow field inside the clearance can be divided into four distinct regions, largely unaffected by speed variations: the high-speed region at the blade leading edge, the diverting and steering region of TLF, the TLF and main stream convergence region, and the trailing edge low-velocity region. Notably, two distinct directions of TLF are observed. At the blade leading edge, TLF flows directly from the upstream field to the lower blade, with a maximum velocity of approximately 2.2 times that of the main flow. Between 30% and 40% of the blade length, radial vortices dominate the diverting and steering of the main flow, forming a precessing vortex structure. Subsequently, TLF from the pressure side accelerates upstream, intersecting with the main flow to form a low-velocity tip leakage vortex region, obstructing the upstream flow. As rotational speed increases, the diverging and steering region shifts downward, and the disturbances in the internal and upstream flow fields further intensify. Furthermore, TLF from the downstream field bypassing the tip is observed between blades. These findings offer valuable data to improve understanding and optimize control strategies of TLF.

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
qitengzhu发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
2秒前
lx84317261应助Maestro_S采纳,获得10
2秒前
3秒前
4秒前
延陵君应助小宫不在家采纳,获得30
5秒前
史一发布了新的文献求助10
5秒前
xcy发布了新的文献求助10
6秒前
忍冬半夏完成签到,获得积分10
7秒前
Zzy22发布了新的文献求助10
8秒前
tianugui完成签到,获得积分10
8秒前
9秒前
10秒前
高高的高丽完成签到,获得积分10
10秒前
11秒前
guojingjing完成签到,获得积分10
11秒前
shen完成签到,获得积分10
11秒前
SLL完成签到,获得积分10
11秒前
Xiangyang完成签到 ,获得积分10
11秒前
星辰大海应助炙热访琴采纳,获得10
12秒前
12秒前
13秒前
竹远发布了新的文献求助10
14秒前
星空发布了新的文献求助30
15秒前
15秒前
123发布了新的文献求助10
16秒前
nchen发布了新的文献求助10
16秒前
17秒前
好好好发布了新的文献求助10
18秒前
18秒前
wanci应助科研通管家采纳,获得10
18秒前
18秒前
桐桐应助科研通管家采纳,获得10
18秒前
小二郎应助科研通管家采纳,获得10
18秒前
打打应助科研通管家采纳,获得10
18秒前
18秒前
共享精神应助科研通管家采纳,获得10
18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
Kinesiophobia : a new view of chronic pain behavior 2000
Psychology and Work Today 1000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5902765
求助须知:如何正确求助?哪些是违规求助? 6761990
关于积分的说明 15753259
捐赠科研通 5026394
什么是DOI,文献DOI怎么找? 2706605
邀请新用户注册赠送积分活动 1654779
关于科研通互助平台的介绍 1601140