Digital twin-driven dynamic prediction and control method for assembly clearance of multi-stage rotor and stator

被引：0
|
作者：
Zhang Y. [1 ]
Sun H. [1 ]
Zhou P. [2 ,3 ]
Li H. [2 ]
机构：
[1] Key Laboratory of High Performance Manufacturing for Aero-Egine, Ministry of Industry and Information Technology, Northwestern Polytcchnical University, Xi'an
[2] Chengdu Holy Industry & Commerce Corp. Ltd (Group), Chengdu
[3] Institute for Aero Engine, Tsinghua University, Beijing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 06期
关键词：
assembly clearance; assembly prediction; digital twin; multistage rotor and stator assembly; process optimization;
D O I：
10.13196/j.cims.2023.06.020
中图分类号：
学科分类号：
摘要：
The tip clearance distribution of multistage rotor and stator is an important index to measure the assembly quality of aero engines, and the traditional assembly methods arc difficult to accurately predict and control assembly clearance. In view of the above problems, a dynamic prediction and control method of assembly clearance of MRS driven by digital twin was proposed. On the basis of analyzing the assembly process, a digital twin model for assembly clearance control of multistage rotor and stator was established, which focused on time variation. Through the measured data driven service model, online prediction of assembly clearance and dynamic regulation of assembly process were realized. The twin data types and the fusion iterative process were sorted out. Four service models were built to realize data fusion iteration. The effectiveness of the proposed method was verified by the assembly process of a compressor. The evolution characteristics of the rotor stator assembly's digital twin model in the time dimension provided a basis for realizing the online prediction and dynamic regulation of multistage rotor stator assembly clearance. © 2023 CIMS. All rights reserved.
引用
收藏
页码：2035 / 2046
页数：11
相关论文
共 26 条
  • [1] SHI Hong, Aeroengine assembly technology [M], (2015)
  • [2] LIU Jianhua, SUN Qingchao, CHENG Hui, Et al., The state-of-the-art, connotation and developing trends of the products assembly technology [J], Journal of Mechanical Engineering, 54, 11, pp. 2-28, (2018)
  • [3] ZHAO Gang, LI Jinyue, XU Maocheng, Research status and prospect of key aero-engine assembly technology[J], Acta Aeronautica et Astronautica Sinica, 43, 10, pp. 474-507, (2022)
  • [4] DING S Y., JIN S, LI Z M, Et al., Multistage rotational optimization using unified Jacobian-Torsor model in aero-engine assembly[C], Proceedings of the Institution of Mechanical Engineers. Part B
  • [5] Journal of Engineering Manufacture, 233, pp. 251-266, (2019)
  • [6] DING Siyi, ZHENG Xiaohu, Precision control of rotor assembly based on improved Jacobian-Torsor theory, Acta Aeronautica et Astronautica Sinica, 42, 10, pp. 439-453, (2021)
  • [7] TU Jianbo, LI Zhen, GE Haotian, Et al., Multi-objective optimization of rotor-stack assembly based on geometric algebra theory [J], Acta Aeronautica et Astronautica Sinica, 42, 10, pp. 395-405, (2021)
  • [8] Hailei DU, SUN Huibin, HUANG Jian, Et al., Optimizing aero-engine rotor part matching considering assembly accuracy[J], Computer Integrated Manufacturing Systems, 27, 5, pp. 1292-1299, (2021)
  • [9] ZHANG Zihao, GUO Junkang, HONG Jun, Et al., Application study of intelligent algorithms for prediction and phase optimization of assembly eccentricity of aero-engine high press ure rotor [J], Journal of Xi'an Jiaotong University, 55, 2, pp. 47-54, (2021)
  • [10] WANG X M, CAO Z F, SUN C Z, Et al., Positioning and orientation error measurement and assembly coaxiality optimization in rotors with curvic couplings [J], Measurement, 186, (2021)
123