Research on Online Monitoring Method and System of Aircraft Tooling Positioner Based on Multi-source Parametric Perception

doi:10.3901/JME.2023.12.162

Abstract

Abstract: As the positioning reference for the assembly of aircraft components, the global force-position status of the aircraft tooling locator directly affects the assembly accuracy. Therefore, it is of great significance to design a tooling system that can inspect the force-position status to guarantee assembly accuracy and efficiency. An online monitoring method of aircraft tooling locator based on sensing of multi-source parameters is proposed in this paper, which can realize the online monitoring of global displacement and strain state of tooling locator under severe obstruction and limited measurement space. A local displacement online acquisition method of visual measurement in the visible region combined with eddy current sensing in nearly closed space is proposed, which expands the displacement online monitoring ability for complex structures of tooling system. The strain-sensitive region of the locator under load is studied, and the advanced method to monitor the strain of the tooling system based on sensing embedded with fiber-optic is established considering the system sensitivity and the measurement space accessibility. Meanwhile, the force-position dataset of the locator under different working conditions is constructed. Based on this dataset, a 'discrete online monitoring - global real-time perception' method is proposed to predict the force-position information of the tooling locator globally. Finally, the online monitoring system for tooling locator used in manufacturing aircraft based on multi-source parametric perception is formed. The simulation experiments and field application verification results show that multi-source state online monitoring ability is given to the tooling system by the proposed method and system, and online self-inspection of the tooling system is realized, which promotes the development of intelligent tooling.

Key words: tooling inspection, online monitoring, big data, global force-position information prediction, intelligent tooling

CLC Number:

V262

LIU Wei, CHEN Qihang, LIANG Bing, ZHANG Yang. Research on Online Monitoring Method and System of Aircraft Tooling Positioner Based on Multi-source Parametric Perception[J]. Journal of Mechanical Engineering, 2023, 59(12): 162-172.

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