Optimal Thermodynamic Design of Turbofan Engines using Multi-objective Genetic Algorithm

The aim of this study is to optimize the performance functions of turbofan engines. In this way, the multi-objective genetic algorithm is employed to optimal design of turbofan with considering the offdesignmodel of engine. The design variables are high-pressure compressor pressure ratio, lowpressurecompressor pressure ratio, fan pressure ratio and bypass ratio. They are calculated in such a way that the performance functions are at their best conditions simultaneously. The performance functions are specific thrust at take-off, and thrust specific fuel consumption, propulsive, thermal, andoverall efficiencies at cruise. The optimization is carried out using the modified NSGA II which is among the best multi-objective genetic algorithm methods. The results of this optimization will be a set of vectors which the designer may choose one of those according to the problem conditions

کلیدواژه ها:

Genetic Algorithm ، Multi-objective ، Off-design ، Turbofan