遺伝的アルゴリズムによる航空エンジンファン動翼の多目的最適化

抄録

In design of aero-engine fan blade, it is required to improve the performance such as efficiency and pressure ratio with considering several constraints such as structural strength, resonance avoidance, surge avoidance, and so on. However, it is difficult to find solutions that satisfy all constrains. In this research, feasible and improved solutions than existed solutions are found by multi-objective optimization using genetic algorithm with multiple constraints ranking.