期刊名称：Journal of Computational Science and Technology
电子版ISSN：1881-6894
出版年度：2011
卷号：5
期号：3
页码：134-147
DOI：10.1299/jcst.5.134
出版社：The Japan Society of Mechanical Engineers
摘要：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.
关键词：Steam Turbine;Multi-Objective Optimization;Large Eddy Simulation;Genetic Algorithm;Kriging Model
