Home LiteratureArticle Details
PMID: 36981300 Published · epublish English Journal Article

Optimization of the Double-Expansion Film-Cooling Hole Using CFD.

Entropy (Basel, Switzerland) ·Vol. 25 ·No. 3 ·2023-02-24

Zhang Z, Hu T, Su X, Yuan X

Abstract

Film cooling is a major cooling technique used in modern gas turbines and air engines. The geometry of film-cooling holes is the fundamental aspect affecting the cooling performance. In this paper, a new cooling configuration called the double-expansion film-cooling hole has been put forward, which yields better performance than the widely used shaped holes and is easy to manufacture. The double-expansion holes at inclination angles of α=30∘, 45∘, and 60∘ are optimized using the genetic algorithm and the Kriging surrogate model, which is trained by CFD data randomly sampled using the Latin hypercube method. The numerically optimized double-expansion holes at different inclination angles were experimentally evaluated and compared with the optimized single-expansion laid-back fan-shaped holes, and the optimized double-expansion hole at α=30∘ was manually modified based on experiment results. Compared with the optimal single-expansion holes, the area-averaged cooling effectiveness of the double-expansion holes was increased by 34.5% at α=30∘, by 27.8% at α=45∘, and basically the same at α=60∘, showing the benefit of the double-expansion concept. The loss mechanism of film cooling was also analyzed in the perspective of the entropy generation rate, showing the optimal double-expansion holes have 21% less loss compared to a baseline narrow single-expansion hole. It was also found that CFD sometimes predicts a different trend from the experiment in optimization, and the experimental validation is necessary.

Keywords
aerodynamic loss double-expansion hole film cooling genetic algorithm numerical optimization
作者与单位
共 4 位作者,点击展开单位 / ORCID
Zhang Zhen ORCID
Department of Energy and Power Engineering, Tsinghua University, Haidian Distrct, Beijing 100084, China.
Hu Tianyu
Department of Energy and Power Engineering, Tsinghua University, Haidian Distrct, Beijing 100084, China.
Su Xinrong
Department of Energy and Power Engineering, Tsinghua University, Haidian Distrct, Beijing 100084, China.
Yuan Xin
Department of Energy and Power Engineering, Tsinghua University, Haidian Distrct, Beijing 100084, China.
Article Info
Journal
Entropy (Basel, Switzerland)
Abbr.
Entropy (Basel)
ISSN
1099-4300
Published
2023-02-24
电子出版
2023-00-24
Language
English
Country/Region
Switzerland
NLM ID
101243874
基金资助
National Natural Science Foundation of China · 5227060118, 51876098
Tsinghua University Initiative Scientific Research Program · N/A
National Science and Technology Major Project · 2017-III-0009-0035
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]