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http://dx.doi.org/10.5293/KFMA.2009.12.4.044

Design Optimization of a Fan-Shaped Film-Cooling Hole Using a Radial Basis Neural Network Technique  

Lee, Ki-Don (인하대학교 대학원 기계공학과)
Kim, Kwang-Yong (인하대학교 기계공학부)
Publication Information
The KSFM Journal of Fluid Machinery / v.12, no.4, 2009 , pp. 44-53 More about this Journal
Abstract
Numerical design optimization of a fan-shaped hole for film-cooling has been carried out to improve film-cooling effectiveness by combining a three-dimensional Reynolds-averaged Navier-Stokes analysis with the radial basis neural network method, a well known surrogate modeling technique for optimization. The injection angle of hole, lateral expansion angle of hole and ratio of length-to-diameter of the hole are chosen as design variables and spatially averaged film-cooling effectiveness is considered as an objective function which is to be maximized. Twenty training points are obtained by Latin Hypercube sampling for three design variables. Sequential quadratic programming is used to search for the optimal point from the constructed surrogate. The film-cooling effectiveness has been successfully improved by the optimization with increased value of all design variables as compared to the reference geometry.
Keywords
Film-cooling; Design optimization; RBNN; Film-cooling effectiveness; Heat Transfer;
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