导航

Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (21): 629759.doi: 10.7527/S1000-6893.2024.29759

• Special Topic: Aero-engine Digital Twin • Previous Articles    

Precision stacking assembly of aero-engine rotor driven by digital twin

Zesheng WANG1, Hui WANG2(), Pengfei ZHANG2, Lifeng DU3, Hongqiang BAO3, Dong LIN3   

  1. 1.Department of Mechanical Engineering,Tsinghua University,Beijing 100084,China
    2.Research Institute of Aero-engine,Beihang University,Beijing 100191,China
    3.AECC Shenyang Liming Aero-Engine Co. ,Ltd. ,Shenyang 110043,China
  • Received:2023-10-24 Revised:2023-11-17 Accepted:2024-01-10 Online:2024-03-13 Published:2024-03-11
  • Contact: Hui WANG E-mail:wanghuisx@buaa.edu.cn
  • Supported by:
    National Science and Technology Major Project of China(J2022-VII-0001-0043)

Abstract:

The extremely high structural complexity of the aero-engine, together with its strict requirements of high performance and stability pose big challenges to aero-engine manufacturing technology. Assembly is a key procedure of aero-engine manufacturing that directly affects product quality, wherein rotor is the key power component of aero-engine, in that its assembly accuracy and quality have great influence on aero-engine performance. Rotor is assembled by multiple parts in series, and the assembly error can be arisen by such multiple factors as error accumulation and connection structure deformation. Aiming at the issue of aero-engine rotor assembly error, a data-driven assembly error optimization method is studied. The mechanism of assembly process is analyzed combining the digital twin technology. Research is carried on digital twin assembly optimization technology from three aspects, including the overall technical framework of rotor assembly unit digital twin, digital analysis model of assembly process, and comprehensive evaluation and decision methods of assembly process. A digital analysis model for assembly process is proposed integrating analysis models of multi physical factors. Then data-driven rotor assembly process monitoring and process optimization can be realized. Through application verification of rotor assembly, the proposed optimization method reduces the assembly error by 57.4% compared to the maximum possible error. The digital twin driven rotor assembly optimization method is then proved to be effective for practical problems, providing a new approach for solving the quality prediction and optimization problems of aero-engine rotor assembly.

Key words: aero-engine, rotor assembly, digital twin, assembly simulation, digital assembly

CLC Number: