Multi-objective optimization of impingement cooling of concave wall based on NSGA-II algorithm

被引:0
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作者
Zhao H. [1 ]
Song S. [1 ]
Wang Z. [1 ]
机构
[1] Hunan Aviation Powerplant Research Institute, Aero Engine Corporation of China, Hunan, Zhuzhou
来源
关键词
concave wall; impingement cooling; multi-objective optimization; NSGA-II algorithm; Pareto front; reverse flow combustor;
D O I
10.13224/j.cnki.jasp.20210688
中图分类号
学科分类号
摘要
In order to obtain the influences of different impingement aperture (IA), impingement spacing of flow direction of impingement hole (IFD), spacing of span direction of impingement hole (ISD) coupling effect on impingement cooling characteristics and structural thermal stress of concave wall in reverse flow combustor, CFD calculation and FEA analysis were carried out. Opt LHD in DOE was selected to determine the sample points in the design space, and a high-precision RBFNN was constructed. Based on NSGA-Ⅱalgorithm, multi-objective optimization was carried out for comprehensive cooling efficiency, non-uniform coefficient of wall temperature distribution and maximum wall thermal stress. The results showed that comprehensive cooling efficiency, non-uniform coefficient of wall temperature distribution and maximum wall thermal stress decreased with the increase of ratio of IFD to ISD, ratio of IFD to IA and ratio of ISD to IA. Through multi-objective NSGA-Ⅱ algorithm, the value range of the three objective functions of the Pareto front of concave wall impingement cooling structure was obtained, i.e.: maximum wall thermal stress was not greater than 5 MPa, comprehensive cooling efficiency was not less than 0.66, and non-uniform coefficient of wall temperature distribution was not greater than 0.16. According to the combination of the optimal structure of concave wall impingement cooling: IA was equal to 0.94 mm, IFD was equal to 4.04 mm, and ISD was equal to 5.45 mm. © 2024 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
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