2018
DOI: 10.1007/s00231-018-2500-6
|View full text |Cite
|
Sign up to set email alerts
|

Multi-objective optimization of laidback fan-shaped film cooling hole on Turbine Vane Suction Surface

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 17 publications
(4 citation statements)
references
References 35 publications
0
3
0
Order By: Relevance
“…Despite the widespread use in practical, the challenging subjects in multi-parameter influence and multi-objective optimization of fan-shaped hole film cooling remain unexamined so far. More recently, Huang et al [11] performed a multi-objective optimization of the laidback fan-shaped hole as applied to the turbine guide suction surface by taking the film cooling effectiveness and the discharge coefficient into consideration. Lenzi et al [12] revealed the unsteady flowfield characterization of a shaped-hole effusion system in the swirling mainstream from detailed experimental tests.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the widespread use in practical, the challenging subjects in multi-parameter influence and multi-objective optimization of fan-shaped hole film cooling remain unexamined so far. More recently, Huang et al [11] performed a multi-objective optimization of the laidback fan-shaped hole as applied to the turbine guide suction surface by taking the film cooling effectiveness and the discharge coefficient into consideration. Lenzi et al [12] revealed the unsteady flowfield characterization of a shaped-hole effusion system in the swirling mainstream from detailed experimental tests.…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al [23] and Huang et al [24] have employed radial basis function neural network (RBFNN) coupling with the genetic algorithm to optimize the geometry of laidback fan-shaped hole and round-to-slot hole on the flat surface respectively. Furthermore, Huang et al [25] have employed RBFNN coupling with a variant of non-dominated sorting genetic algorithm (NSGA-II) with the film cooling effectiveness and discharge coefficient as the objective function to optimize the geometry of laidback fan-shaped hole on the suction surface of turbine vane. Jiang et al [26] have employed response surface approximation coupled with NSGA-II to perform a multiple objective optimization on the high pressure turbine vane to optimize the geometry of multi-rows film cooling holes with the injection angle and compound angle as the design variables.…”
Section: Introductionmentioning
confidence: 99%
“…As a result of the influence of the anti-kidney vortices, compared with the conventional film hole, the fan-shaped hole can produce less normal penetration and better span-wise film coverage. As the fan-shaped holes contain many geometric parameters, the influence of multi-parameters about film cooling performance is extremely complicated and still attractive to the researchers so far [10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…by Yao et al [32], M=0.91 Present Num., M=0.91 Exp. by Yao et al [32], M=1.55 Present Num., M=1.55 η Mach number distribution (b) Comparison of current simulation and experimental data[13]…”
mentioning
confidence: 99%