Amélioration du rendement d'un étage d'une turbine axial à l'aide des algorithmes évolutionnaires

Abstract

The gas turbine is an internal combustion engine. It is used for the drive of alternators, for the generation of electricity, pumps and compressors and for the transport of fluids or propulsionin aviation, the navy, etc. The objective of this work is to improve the performance of an axial turbine stage. The development of a computer code, allows us to optimize the dimensioning of this stage, the present study relates to the aerothermodynamic optimization of the axial turbine. The isentropic efficiency of the turbine is chosen as the objective function. The results reveal that differential evolution algorithms and genetic algorithms have beenapplied for the maximization of the performance of the stage. They showed that the best performance is obtained using the differential evolution algorithm.