Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades

Aiming at the problem of low resources utilization rotating blades in selection process aeroengine fan rotor blades, this paper takes first-order bending dispersion, torque and gravitational moment difference as criteria minimum remaining optimization goal. An intelligent algorithm based on collocation degree is proposed achieves efficient full blades. multiple installations adjustments assembly success rate gravity two diagonal position 180° constraint residual unbalance objective, adopts improved simulated annealing to optimize sequence greatly reduces which beneficial reduce number The optimizing matching methods realize lays a foundation for reliability robustness quality service performance