Optimal Thermodynamic Design of Turbofan Engines using Multi–objective Genetic AlgorithmInternational Journal of Engineering
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 offdesign model of engine. The design variables are high–pressure compressor pressure ratio, lowpressure compressor 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, and overall 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.
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