A mesh parameterization method and life reliability-based optimization for turbine blade

被引:0
|
作者
Lei, Jingyu [1 ]
Lei, Qiannan [2 ]
Li, Hongbin [1 ]
Jia, Beixi [3 ]
机构
[1] Xi’an Modern Chemistry Research Institue, Xi’an
[2] Xi’an Aerospace Propulsion Institute, Xi’an
[3] Chinese Aeronautical Establishment, Beijing
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2023年 / 49卷 / 10期
关键词
film hole; mesh parameterization; multi-model coupling life; reliability-based optimization; turbine blade;
D O I
10.13700/j.bh.1001-5965.2021.0708
中图分类号
学科分类号
摘要
The optimization of the life reliability of turbine blades is of great significance for the safety and service life improvement of aeroengines. The traditional deterministic optimization method does not consider the influence of uncertain factors, which tends to cause low structural reliability, seriously threatening the safety of the aeroengine. Thus, this paper focuses on the life reliability-based optimization of the turbine blade in uncertain environments. A local mesh deformation method is proposed for the turbine blade with geometric variables of the film hole to realize mesh parameterization. Based on the proposed method, the life reliability-based optimization of the turbine blade with film hole geometric variables is achieved under uncertain conditions. With satisfying reliability constraints and geometric constraints, the average lifetime value of turbine blades based on uncertainty is increased by 18.36%. © 2023 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
引用
收藏
页码:2651 / 2659
页数:8
相关论文
共 18 条
  • [11] TRUONG A H, OLDFIELD C A, ZINGG D W., Mesh movement for a discrete-adjoint newton-krylov algorithm for aerodynamic optimization, AIAA Journal, 46, 7, pp. 1695-1704, (2008)
  • [12] ZHOU Z G., Optimization of high subsonic axial compressor blades, Journal of Propulsion Technology, 25, 1, pp. 58-61, (2004)
  • [13] LI L Z, WANG J C, HAN Y Z, Et al., Displacement transfer with the mesh deformation method in multidisciplinary optimization of turbine blades, Journal of Aerospace Power, 22, 12, pp. 2101-2104, (2007)
  • [14] SHI Z., Parametric design and numerical research of gas turbine cooling structure, (2015)
  • [15] YANG F., Multidisciplinary design optimization of turbine cooling blade reliability based on grid parameterization, (2016)
  • [16] YUE M H, LIU Y, LIU C, Et al., Parameterized molding design and grid auto-generation for cooling turbine blade, Aeroengine, 43, 6, pp. 15-20, (2017)
  • [17] LING C Y, LYU Z Z, YUAN W Y., Efficient method for failure probability function, Journal of National University of Defense Technology, 40, 3, pp. 159-167, (2018)
  • [18] ECHARD B, GAYTON N, LEMAIRE M., AK-MCS: An active learning reliability method combining kriging and monte carlo simulation, Structural Safety, 33, 2, pp. 145-154, (2011)