基于几何代数理论的转子堆叠装配多目标优化

1. 大连理工大学 机械工程学院, 大连 116024
• 收稿日期:2020-05-07 修回日期:2020-06-20 发布日期:2020-10-16
• 通讯作者: 李震 E-mail:lizhen@dlut.edu.cn
• 基金资助:
兴辽英才计划（XLYC1808016）；中央高校基本科研业务费专项资金（DUT19LAB17）

Multi-objective optimization of rotor-stack assembly based on geometric algebra theory

TU Jianbo, LI Zhen, GE Haotian, LIU Liang, LIU Honghui

1. College of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
• Received:2020-05-07 Revised:2020-06-20 Published:2020-10-16
• Supported by:
LiaoNing Revitalization Talents Program (XLYC1808016);The Fundamental Research Funds for the Central Universities (DUT19LAB17)

Abstract: In the assembly process of aero-engine multi-stage rotors, the optimized rotor stacking assembly plan is of particular significance in improving the rotor assembly quality and safe operation. To enhance the optimization efficiency of rotor installation phase and assembly quality, a method for efficient solution of the optimal stacking assembly scheme is proposed based on the geometric algebra theory combined with the multi-objective optimization method. The computational efficiency of the geometric algebra and homogeneous matrix is first compared and verified, and the multi-stage rotor stack assembly error propagation model improved based on the geometric algebra theory. Secondly, according to the assembly requirements of the aero-engine rotor installation phase angle, a multi-objective optimization model of rotor concentricity and initial unbalance is established. The non-dominated sorting genetic algorithm II is finally used to solve the multi-objective optimization problem of the stack assembly, obtaining the optimal assembly scheme that satisfies the process requirements. Results show that the concentricity of the rotor and the initial unbalance are reduced by 65.10% and 97.88%, respectively, compared with the random assembly scheme.