Multi-Objective Design Optimization for a Steam Turbine Stator Blade Using LES and GA

Journal of Computational Science and Technology

Koji SHIMOYAMA²  Yasuyuki YOKONO¹  Shigeru OBAYASHI²  Shinkyu JEONG²  Shu YOSHIMIZU² 

[1] Global Center of Excellence for Mechanical Systems Innovation, University of Tokyo;Institute of Fluid Science, Tohoku University

关键词: Steam Turbine;    Multi-Objective Optimization;    Large Eddy Simulation;    Genetic Algorithm;    Kriging Model;   

DOI  :  10.1299/jcst.5.134

学科分类：地球科学(综合)

来源: Japan Academy

【 摘 要 】

References(25)Cited-By(3)Multi-objective design optimization for a steam turbine stator blade was implemented using three-dimensional large eddy simulation (LES) and a genetic algorithm (GA). The GA used here was assisted by the Kriging response surface model for global and efficient optimization. The aim of the optimization described here was to reduce overall pressure loss and local pressure loss due to end walls simultaneously. The optimization results revealed the blade design candidates that overcame the baseline design in terms of overall loss and local loss, and the trade-off relation between them. In addition, these results provided a specific design concept and corresponding flow mechanism to realize a highly efficient stator blade.

【 授权许可】

Unknown