Numerical Investigations on Effect of Inflow Parameters on Development of Secondary Flow Field for Linear Low-Pressure Turbine Cascade

湍流 机械 流入 二次流 涡流 级联 流量(数学) 涡轮机 雷诺数 湍流动能 物理 气象学 材料科学 热力学 工程类 化学工程
作者
Anand P. Darji,Beena D. Baloni,Chetan S. Mistry
出处
期刊:Journal of turbomachinery [ASME International]
卷期号:145 (5) 被引量:3
标识
DOI:10.1115/1.4056093
摘要

Abstract Endwall flows contribute the most crucial role in loss generation for axial flow turbine and compressor blades. These losses lead to modifying the blade loading and overall performance in terms of stable operating range. The present study aimed to determine the endwall flow streams in a low-speed low-pressure linear turbine cascade vane using a numerical approach. The study includes two sections. The first section includes an attempt to understand different secondary flow streams available at the endwall. The location of the horseshoe vortex and subsequent vortex patterns are identified in the section. The selection of a suitable turbulence model among shear stress transport (SST) k–ω and SST γ–θ to identify endwall flow streams is studied prior to the section. The steady-state numerical study is performed using Reynolds Averaged Navier–Stokes equations closed by the SST γ–θ turbulence model. The computational results are validated with experimental results available in the literature and are found to be in good agreement. The study is extended for different inflow conditions in a later section. The second section includes the effect of flow incidence and turbulence intensity on the endwall secondary flow field. Four different inflow incidences are considered for the study. The inlet turbulence intensities are varied by 1% and 10% for each case. The results revealed different secondary flow patterns at an endwall and found the change in behavior with inflow conditions. SST γ–θ turbulence model with lower turbulence intensity is more suitable to identify such flow behavior.

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
桐桐应助asdfghjkl采纳,获得10
刚刚
刚刚
Legend完成签到,获得积分10
刚刚
彼岸花开发布了新的文献求助10
刚刚
Zyk完成签到,获得积分10
1秒前
李健的小迷弟应助丁可心采纳,获得10
1秒前
wyy发布了新的文献求助30
1秒前
1秒前
刘奎冉发布了新的文献求助10
1秒前
2秒前
Ava应助活泼的问夏采纳,获得10
2秒前
ykmykm完成签到,获得积分20
3秒前
平常思远发布了新的文献求助10
3秒前
3秒前
4秒前
微笑芯发布了新的文献求助10
4秒前
4秒前
王松桐发布了新的文献求助10
4秒前
4秒前
打打应助O椰采纳,获得10
4秒前
蓝桉发布了新的文献求助10
4秒前
葛优发布了新的文献求助10
5秒前
kirito发布了新的文献求助10
5秒前
天天快乐应助heiehihahah采纳,获得10
5秒前
6秒前
haohoa完成签到,获得积分10
6秒前
6秒前
所所应助包语梦采纳,获得10
6秒前
6秒前
CyrusSo524给拾捌的求助进行了留言
6秒前
熙原发布了新的文献求助10
6秒前
周一完成签到,获得积分10
7秒前
完美世界应助xiaoarui17采纳,获得30
7秒前
7秒前
Whan发布了新的文献求助10
7秒前
bkagyin应助聪慧雁荷采纳,获得10
7秒前
7秒前
ding应助杜晶采纳,获得10
8秒前
小智发布了新的文献求助10
8秒前
8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 3000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 1100
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Proceedings of the Fourth International Congress of Nematology, 8-13 June 2002, Tenerife, Spain 500
Le genre Cuphophyllus (Donk) st. nov 500
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 5939207
求助须知:如何正确求助?哪些是违规求助? 7047947
关于积分的说明 15877475
捐赠科研通 5069178
什么是DOI,文献DOI怎么找? 2726470
邀请新用户注册赠送积分活动 1684941
关于科研通互助平台的介绍 1612585