Blade Sorting Method for Unbalance Minimization of an Aeroengine Concentric Rotor

This paper proposes a blade sorting method based on the cloud adaptive genetic algorithm (CAGA), which is used to optimize unbalanced of asymmetric rotor aero-engine. Firstly, by analyzing unbalance arrangement caused deviation mass moment blade, and considering concentricity disk, an optimization model amount assembly was established. Secondly, selection operator, crossover mutation operator were designed, unbalance. Thirdly, moments group aero-engine blades weighed using scale (MW0), distribution under six arrangements analyzed. Finally, setting different disk concentricity, corresponding final obtained. Through analysis, it found that GA at least 57.5% optimized relative weight sorted, type 2, 4, sorting-1/4 skip method, CAGA 95.7% GA. In case initial effective accuracy still maintained, proves effectiveness for blades. establishes model, uses sort assembly, effectively reduces rotor.