Abstract
The mesh generation method for 2-D turbulence analysis of steam turbine cascade was developed. Conventionally, modification of computational mesh according to the turbine blade shape or the analysis condition has often been needed in order to estimate the performance of the steam turbine blade with high accuracy. In this study, the response surface method with Kriging model is used to determine the parameters for mesh generation. This Kriging model receives the blade shape characteristic parameters and the analysis conditions as the inputs and estimates the parameters for mesh generation. In order to build this Kriging model, a number of typical blade's shape characteristic parameters calculated by the dot sequence data and optimal mesh generation parameters searched by Genetic Algorithm are needed. By this parameter estimation, the meshes of the existing turbine blade which have accuracy as much as the meshes generated by the expert were obtained.
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