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A Study on Component Map Generation of a Gas Turbine Engine Using Genetic Algorithms  

Kong Chang-Duk (조선대학교 항공우주공학과)
Kho Seong-Hee (조선대학교 항공우주공학과)
Publication Information
Journal of the Korean Society of Propulsion Engineers / v.8, no.3, 2004 , pp. 44-52 More about this Journal
Abstract
In this study, a component map generation method using experimental data and the genetic algorithms are newly proposed. In order to generate the performance map for components of this engine, after obtaining engine performance data through many experimental tests, and then the third order equations which have relationships the mass flow function the pressure ratio and the isentropic efficiency as to the engine rotational speed were derived by using the genetic algorithms. A steady-state performance analysis was performed with the generated maps of the compressor by the commercial gas turbine performance analysis program GASTURB. In comparison, it was found that the component maps can be generated from the experimental test data by using the genetic algorithms, and it was confirmed that the analysis results using the generated maps were very similar to those using the scaled maps from the GASTURB.
Keywords
Genetic Algorithms; Component Map; Performance Analysis;
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