For the assembly of a multi-stage rotor, such as an aero-engine or gas turbine, the parts need to be assembled optimally to avoid excessive unbalance. We propose a method to optimize the unbalance of a multi-stage rotor during assembly. First, we developed an assembly error propagation model for a multi-stage rotor. The alignment process and distribution of the screw holes of the adjacent rotors was considered for the first time. Secondly, we propose a new assembly datum for unbalance optimization to ensure consistency with the actual conditions of a dynamic balance test. Finally, the unbalance optimization of a multi-stage rotor was achieved using a genetic algorithm, and the corresponding optimal assembly orientations of rotors at different stages were also identified. The results of the simulations showed that the assembly error propagation model had high accuracy and that the genetic optimization process had good convergence. The effect of unbalance optimization was also proven with experiments.

中文翻译：

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基于装配误差传播模型的多级转子不平衡优化方法

对于组装多级转子（例如航空发动机或燃气轮机），需要最佳地组装零件以避免过度的不平衡。我们提出了一种在组装过程中优化多级转子不平衡的方法。首先，我们开发了多级转子的装配误差传播模型。首次考虑了相邻转子的螺孔的对准过程和分布。其次，我们提出了一种用于不平衡优化的新装配基准，以确保与动态平衡测试的实际条件一致。最后，利用遗传算法实现了多级转子的不平衡优化，并确定了不同阶段转子的最佳装配方向。仿真结果表明，装配误差传播模型具有较高的精度，遗传优化过程具有良好的收敛性。实验还证明了不平衡优化的效果。