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Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (21): 629462.doi: 10.7527/S1000-6893.2023.29462

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

A digital twin testing and adjusting system for aero-engine casings based on augmented reality

Yingjie MEI1,2, Dawei WANG1,2, Chuanzhi SUN1,2, Lamei YUAN3, Xiaoming WANG1,2, Yongmeng LIU1,2()   

  1. 1.Center of Ultra-Precision Optoelectronic Instrument Engineering,School of Instrumentation Science and Engineering,Harbin Institute of Technology,Harbin 150080,China
    2.Key Lab of Ultra-Precision Intelligent Instrumentation Engineering,Ministry of Industry and Information Technology,Harbin Institute of Technology,Harbin 150080,China
    3.School of Mathematics,Harbin Institute of Technology,Harbin 150080,China
  • Received:2023-08-18 Revised:2023-09-12 Accepted:2023-10-09 Online:2023-11-23 Published:2023-11-22
  • Contact: Yongmeng LIU E-mail:lym@hit.edu.cn
  • Supported by:
    National Key R&D Program of China(2021YFF0603200);National Natural Science Foundation Major Research Projects of China(91960109);National Natural Science Foundation of China(52205560);China Postdoctoral Science Foundation(2021T140164);Natural Science Foundation of Heilongjiang Province of China(LH2020E042);Key R&D Project of Heilongjiang Province(2022ZX03A03);Heilongjiang Postdoctoral Fund(LBH-TZ2112);The Fundamental Research Funds for the Central Universities(2022FRFK060025)

Abstract:

In order to improve the assembly accuracy and efficiency of aero-engine casings, this paper proposes a digital twin testing and adjusting system for aero-engine casings based on augmented reality. Utilizing the high fidelity interactive characteristics of augmented reality device, real-time visualization guided assembly of multi-stage aero-engine casings is carried out. Furthermore, this paper establishes a mathematical model for the assembly of aero-engine multi-stage casings to achieve accurate prediction of coaxiality of multi-stage casing assembly. Combining the assembly mathematical model with visual models, this paper conducts digital twin assembly experiments based on simulated multi-stage aero-engine casings, to achieve digital twin model mapping for aero-engine casings. The experimental results show that the coaxiality prediction error of the digital twin assembly system proposed in this paper is 0.6 μm, the average latency of augmented reality visualization interaction is 11 ms, the average frame rate is 45 fps, and the assembly consumption time is reduced by 5 h, effectively improving the accuracy and efficiency of aero-engine casing assembly.

Key words: aero-engine, assembly of casings, digital twin, augmented reality, assembly mathematical model, visualization mode

CLC Number: