Abstract: Aiming at the selection problem of aero-engine rotor parts,an approach to rotor part optimization for the stop-bolt connection structure was proposed by considering assembly requirements and individual characteristics of physical parts.Based on the measured size,shape and position error data of physical parts,a single rotor part error model was built for every part.According to the assembly relationship among parts,an assembly error propagation model of multi-stage rotors was established.By considering coaxiality and perpendicularity,a part matching optimization model was proposed.The fast elitist Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) algorithm was used to optimize the part combination and circumferential assembly phase of each part.The exam showed that the coaxiality and perpendicularity errors were dramatically decreased compared to random part selection.By guiding part matching and assembly operation,the optimized result could improve success rate of single assembly try and consistency of assembly quality,and reduce trail-and-error cost.

Key words: part matching optimization, size,shape and position errors, assembly error propagation, coaxiality and perpendicularity

摘要： 针对航空发动机转子零件选配问题,考虑装配要求和零件实物的差异性,提出一种面向止口—螺栓连接结构的转子零件选配优化方法,基于每个转子零件连接面的实测尺寸误差和形位误差数据,建立了单个转子零件误差模型;根据结合面之间的装配关系,建立了多级转子组件装配误差传递模型,提出综合考虑装配体同轴度和垂直度的零件选配优化模型,采用NSGA-Ⅱ对零件配套组合和各级转子零件的周向安装角度进行优化。验证实例表明,所提优化选配方法使装配体的同轴度和垂直度偏差显著低于随机选配。优化的结果可指导零件配套和装配操作,提高转子组件的一次装配成功率和装配质量一致性,减少“试错”成本。

关键词: 零件选配优化, 尺寸、形位误差, 装配误差传递, 同轴度和垂直度