Abstract
Aiming at the problem of low resources utilization of rotating blades in the selection process of aeroengine fan rotor blades, this paper takes the first-order bending dispersion, first-order torque dispersion, and gravitational moment difference of rotor blades as the selection criteria and takes the minimum remaining blades as the optimization goal. An intelligent selection algorithm of blades based on the collocation degree of blades is proposed and achieves the efficient selection and full utilization of rotating blades. Aiming at the problem of multiple installations and multiple adjustments and low assembly success rate of fan rotor blades, this paper takes the gravity moment difference of the two blades at the diagonal position of 180° as the constraint and takes the minimum residual unbalance as the optimization objective, adopts the improved simulated annealing algorithm to optimize the assembly sequence of rotating blades, and greatly reduces the residual unbalance of blades, which is beneficial to reduce the number of assembly adjustments of blades. The optimizing selection and optimizing matching methods of rotating blades realize the full utilization and efficient assembly of blades and lays a foundation for the reliability and robustness of the assembly quality and service performance of blades.
Highlights
E constraint of rotor blade optimization-selection is not to exceed the given natural frequency dispersion and gravitational moment difference. e optimization goal is to minimize the number of remaining blades in the candidate library. erefore, the optimization-selection process of rotating blades is an optimization process with constraints. ere are not many researches on the optimization-selection of rotating blades, but the problem of rotor blade optimization-selection is essentially an engineering optimization problem
Aiming at the problem of low resource utilization of rotating blades in the selection process of blades, this paper proposes an intelligent optimization algorithm for selecting rotating blades based on the collocation degree
(1) is paper established the optimization algorithm of selecting blades based on the collocation degree of blades and realized efficient selection and full utilization of rotating blades before assembly. e blade resource utilization rate is increased from 65%–74% currently achieved by the enterprise to 83%–93% by the algorithm. e statistic results of the algorithm running 20 times show that the minimum solution time is 7.7 seconds, the maximum is 28.7 seconds, and the solution efficiency is very high
Summary
In order to improve the balance quality of the aeroengine fan rotor, rotating blades need to be selected and matched according to the natural frequency and the gravitational moment before installation. e selection matching work before assembly of rotor blades mainly includes two parts: 1 select rotating blades from the blade database according to the natural frequency dispersion and the gravity moment difference. e goal of selecting blades is to realize the efficient selection and full utilization of rotor blades; 2 when the selection of the blade is completed, the assembly sequence of rotating blades must be planned with the goal of the smallest remaining unbalance according to the gravitational moment of rotating blades. e selection-matching work of rotor blades of the aeroengine fan directly determines the balance quality of the product and affects the service performance of the product. In order to improve the balance quality of the aeroengine fan rotor, rotating blades need to be selected and matched according to the natural frequency and the gravitational moment before installation. E goal of selecting blades is to realize the efficient selection and full utilization of rotor blades; 2 when the selection of the blade is completed, the assembly sequence of rotating blades must be planned with the goal of the smallest remaining unbalance according to the gravitational moment of rotating blades. If the blades are not selected, and the blades required by the fan rotor will be taken out randomly from the blade database, the first-order bending dispersion, first-order torque dispersion, and gravitational moment difference of the blades will lose control, which will be difficult to guarantee the remaining unbalance of rotating blades and increase the difficulty of dynamic balancing of rotor blades. In order to compensate the excessive residual unbalance, the adjustment of rotating blades has to be carried out
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