Film-Cooling Holes Design Optimization and Knowledge Mining of a Squealer Tip

被引：0
|
作者：
Li C.-X. [1 ]
Guo Z.-D. [1 ]
Song L.-M. [1 ]
Li J. [1 ]
Feng Z.-P. [1 ]
机构：
[1] School of Energy and Power Engineering, Xi'an Jiaotong Universtiy, Xi'an
来源：
Tuijin Jishu/Journal of Propulsion Technology | 2019年 / 40卷 / 02期
关键词：
Effective global optimization; Film cooling; Knowledge mining; Squealer tip;
D O I：
10.13675/j.cnki.tjjs.170822
中图分类号：
学科分类号：
摘要：
In order to improve the film-cooling effectiveness of squealer tip, by integrating data mining techniques and effective global optimization (EGO) algorithm, an optimization method for film-cooling holes on squealer tip is proposed. Using this method, the design optimization is carried out for maximizing average film-cooling effectiveness of the squealer tip of GE_E3 rotor tip, while the constraint is coolant mass flow rate. After optimization, the film-cooling effectiveness of tip increased by 3.7 times. According to flow structure and cooling flow analysis, for optimal design, the distribution of film cooling holes is improved. And the optimal design changes the dimeter of film-cooling holes to adjust the mass flow of holes of coolant air and increase flow area of coolant air in the squealer cavity. In addition, the mainstream suppression effect enhances, so that the coolant air from film cooling holes is closer to squealer tip. Therefore, the cooling effectiveness of squealer tip increases significantly. Meanwhile, the knowledge discovery of design space is carried out, the effects of design variables near leading edge on film-cooling effectiveness of squealer tip are important. Increasing the dimeter of film cooling holes and reducing the distance between film cooling holes near leading edge should improve film cooling in squealer tip. © 2019, Editorial Department of Journal of Propulsion Technology. All right reserved.
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页码：276 / 284
页数：8
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