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http://dx.doi.org/10.3795/KSME-A.2010.34.5.611

Development of Computational Orthogonal Array based Fatigue Life Prediction Model for Shape Optimization of Turbine Blade  

Lee, Kwang-Ki (Consulting Division, VP KOREA)
Han, Seung-Ho (Dept. of Mechanical Engineering, Dong-A Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.34, no.5, 2010 , pp. 611-617 More about this Journal
Abstract
A complex system involves a large number of design variables, and its operation is non-linear. To explore the characteristics in its design space, a Kriging meta-model can be utilized; this model has replaced expensive computational analysis that was performed in traditional parametric design optimization. In this study, a Kriging meta-model with a computational orthogonal array for the design of experiments was developed to optimize the fatigue life of a turbine blade whose behavior under cyclic rotational loads is significantly non-linear. The results not only show that the maximum fatigue life is improved but also indicate that the accuracy of computational analysis is achieved. In addition, the robustness of the results obtained by six-sigma optimization can be verified by comparison with the results obtained by performing Monte Carlo simulations.
Keywords
Fatigue Life; Turbine Blade; Orthogonal Array; Kriging Model; Six Sigma Optimization;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
Times Cited By SCOPUS : 2
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