Multidisciplinary probabilistic and robust design optimization for turbine blade

Qian He, Yuan Sheng Li, Zhi Xun Wen, Zhu Feng Yue

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

摘要

To investigate a suitable multidisciplinary design optimization method for turbine blade considering uncertainty, a multidisciplinary six sigma probabilistic and robust design optimization method for turbine blade was presented. Multidisciplinary feasible (MDF) method was used to decouple the multidisciplinary analysis and second order Taylor expansion method was employed to measure the mean and standard deviation of variables. The Kriging approximate model with updating was introduced to reduce the computational cost of MDF. The case study shows that the proposed method can make the design reach the best performance with desired reliability and robustness. The reliability and robustness are improved compared to deterministic multidisciplinary design optimization. It indicates that the proposed method is available and feasible for the engineering application.

源语言英语
页(从-至)193-197
页数5
期刊Tuijin Jishu/Journal of Propulsion Technology
31
2
出版状态已出版 - 4月 2010

指纹

探究 'Multidisciplinary probabilistic and robust design optimization for turbine blade' 的科研主题。它们共同构成独一无二的指纹。

引用此