Numerical study on film cooling and convective heat transfer characteristics in the cutback region of turbine blade trailing edge

后缘 材料科学 传热系数 机械 对流换热 涡轮叶片 对流 传热 前沿 热流密度 热力学 涡轮机 复合材料 物理
作者
Yonghui Xie,Dong-Ting Ye,Zhong-Yang Shen
出处
期刊:Thermal Science [National Library of Serbia]
卷期号:20 (suppl. 3): 643-649 被引量:4
标识
DOI:10.2298/tsci16s3643x
摘要

Gas turbine blade trailing edge is easy to burn out under the exposure of high-temperature gas due to its thin shape. The cooling of this area is an important task in gas turbine blade design. The structure design and analysis of trailing edge is critical because of the complexity of geometry, arrangement of cooling channels, design requirement of strength, and the working condition of high heat flux. In the present paper, a 3-D model of the trailing edge cooling channel is constructed and both structures with and without land are numerically investigated at different blowing ratio. The distributions of film cooling effectiveness and convective heat transfer coefficient on cutback and land surface are analyzed, respectively. According to the results, it is obtained that the distributions of film cooling effectiveness and convective heat transfer coefficient both show the symmetrical characteristics as a result of the periodic structure of the trailing edge. The increase of blowing ratio significantly improves the film cooling effectiveness and convective heat transfer coefficient on the cutback surface, which is beneficial to the cooling of trailing edge. It is also found that the land structure is advantageous for enhancing the streamwise film cooling effectiveness of the trailing edge surface while the film cooling effectiveness on the land surface remains at a low level. Convective heat transfer coefficient exhibits a strong dependency with the blowing ratio, which suggests that film cooling effectiveness and convective heat transfer coefficient must be both considered and analyzed in the design of trailing edge cooling structure.
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
miao完成签到,获得积分10
1秒前
有使不完牛劲的正主完成签到 ,获得积分10
1秒前
1秒前
3秒前
须尽欢完成签到,获得积分10
3秒前
lnscan应助斯文谷秋采纳,获得10
4秒前
骑士完成签到,获得积分10
4秒前
Cheryy完成签到,获得积分10
4秒前
大瑞Researcher完成签到,获得积分10
6秒前
zig完成签到,获得积分10
6秒前
满满完成签到,获得积分10
7秒前
麻烦~发布了新的文献求助20
8秒前
zzzzzzzzzzzz完成签到,获得积分10
8秒前
单纯的易绿完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
10秒前
12秒前
绍兴李达康完成签到,获得积分10
12秒前
RJ应助梭梭采纳,获得10
12秒前
记忆发布了新的文献求助10
12秒前
13秒前
en完成签到,获得积分10
13秒前
星辰大海应助zzxy采纳,获得10
13秒前
Zihang完成签到,获得积分10
14秒前
传奇3应助coollittlemouse采纳,获得10
14秒前
微微一笑发布了新的文献求助10
14秒前
东湾苍梧完成签到,获得积分10
15秒前
尹佳慧发布了新的文献求助10
16秒前
汉堡包应助Joshua采纳,获得10
16秒前
酷波er应助zjw采纳,获得10
16秒前
17秒前
Felixsun发布了新的文献求助20
18秒前
哈哈哈完成签到,获得积分10
18秒前
wp完成签到,获得积分10
18秒前
ZB完成签到,获得积分10
19秒前
20秒前
20秒前
Xiaoming85完成签到,获得积分10
21秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Evolution 1100
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 550
Assessment of Ultrasonographic Measurement of Inferior Vena Cava Collapsibility Index in The Prediction of Hypotension Associated with Tourniquet Release in Total Knee Replacement Surgeries under Spinal Anesthesia 500
Selecting and Specifying Concrete Surface Preparation for Sealers, Coatings, Polymer Overlays, and Concrete Repair 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2981552
求助须知:如何正确求助?哪些是违规求助? 2642834
关于积分的说明 7131683
捐赠科研通 2276225
什么是DOI,文献DOI怎么找? 1207407
版权声明 592084
科研通“疑难数据库(出版商)”最低求助积分说明 589852