Optimization on mistuned blades sorting based on improved discrete particle swarm optimization algorithm in aero-engine

Aero-engine bladed-disk system of blade mistuning bladed disc seriously affected the vibration characteristics of the system and the whole aviation engine performance and service life of aero-engine rotor blade, so the installation scheme is a difficulty in the engine production and repair engineering. Through the modal experiment of blade mistuning parameters to obtain the dynamic model is established. Blade of aviation engine scheduling problem belongs to NP complete problem, in this paper, the standard particle swarm algorithm into genetic algorithm crossover operator and mutation operator of genetic selection and thought, retained the particle swarm algorithm with faster convergence of the excellent characteristic, increase the diversity of the population, improved particle swarm global optimizing ability, and get more than other optimization algorithm accuracy higher ranking results. Research shows that: the selection of appropriate blade arrangement sequence can effectively reduce the bladed-disk system forced vibration amplitude, vibration reducing system localization degree, by use of the proposed discrete genetic particle swarm algorithm can make the blade arrangement of bladed disk system vibration amplitude is small or within acceptable range.