Research on digital twin monitoring system for large complex surface machining

Tian-Feng Qi (), Hai-Rong Fang (), Yu-Fei Chen () and Li-Tao He ()
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Tian-Feng Qi: Beijing Jiaotong University
Hai-Rong Fang: Beijing Jiaotong University
Yu-Fei Chen: Beijing Jiaotong University
Li-Tao He: Beijing Jiaotong University

Journal of Intelligent Manufacturing, 2024, vol. 35, issue 3, No 3, 977-990

Abstract: Abstract With the rapid development of aerospace, the large complex curved workpiece is widely used. However, the lack of digital monitoring and detection in the current manufacturing process leads to the low efficiency of the parts produced and processed, and quality consistency cannot be guaranteed. Aiming at the problems of low degree of virtual visualization and insufficient monitoring ability of large complex surface machining, a framework of large complex surface machining monitoring system based on digital twin technology was proposed. The digital research of intelligent processing monitoring system is carried out from six dimensions. By studying the key technologies of virtual twin model construction, multi-source data acquisition and transmission, and virtual-real mapping relationship construction, a digital twin monitoring system for large complex surface machining is developed. Finally, the feasibility and effectiveness of the twin system are verified by a real scene, and it provides a reference for monitoring the machining process of large complex curved workpieces.

Keywords: Digital twin; Data acquisition; Virtual model; Visual monitoring (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10845-022-02072-2

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