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Cycle Optimization of a Turbine Engine: an Approach Based on Genetic Algorithms
Borguet, Sébastien; Kelner, Vincent; Léonard, Olivier
2006In Proceedings od the 7th Belgian Congress on Theoretical and Applied Mechanics
 

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Keywords :
Turbine Engine Model; Genetic Algorithm; Multi-Objective Optimization
Abstract :
[en] Multi-objective optimization is performed of a turbofan. The objectives are to minimize the Specific Fuel Consumption at cruise conditions, as well as to maximize the Specific Thrust during the take-off phase. Three design variables have been selected: the by-pass ratio, the fan pressure ratio, and the high pressure compressor pressure ratio. The backbones of the optimization approach consist of a genetic algorithm and a modular gas turbine simulation tool.
Disciplines :
Aerospace & aeronautics engineering
Mechanical engineering
Author, co-author :
Borguet, Sébastien ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Kelner, Vincent ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Léonard, Olivier ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Language :
English
Title :
Cycle Optimization of a Turbine Engine: an Approach Based on Genetic Algorithms
Publication date :
May 2006
Event name :
7th Belgian Congress on Theoretical and Applied Mechanics
Event place :
Mons, Belgium
Event date :
May 2006.
Main work title :
Proceedings od the 7th Belgian Congress on Theoretical and Applied Mechanics
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since 03 September 2009

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