Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm

The coaxiality and unbalance are the two important indexes to evaluate assembly quality of an aeroengine. It often needs be tested disassembled repeatedly meet double-objective requirements at same time. Therefore, intelligent method is urgently needed directly predict optimal orientations rotors each stage simultaneously. In this study, optimization for multistage rotor aeroengine proposed based on genetic algorithm. Firstly, a spatial location propagation model developed accurately position after assembly. alignment process screw holes adjacent considered first Secondly, new strategy select different data specific values unbalance, respectively. Finally, fitness function constructed unbalance. simulation experimental results show that in study can utilized achieve synchronous during preassembly.