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Extracting Technicians' Skills for Human-Machine Collaboration in Aircraft Assembly

Research on the efficiency and quality issues faced in aircraft assembly was conducted in this article. A new method of human-machine collaborative riveting was proposed, which combined the flexibility of manual collaboration with the precise control of automatic riveting. The research works include...

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Bibliographic Details
Published in:Biomimetics (Basel, Switzerland) Switzerland), 2023-12, Vol.8 (8), p.604
Main Authors: Tian, Yaling, Li, Ji, Dan, Junjie, Shu, Yongsheng, Liu, Chang, Li, Ruijie, Liu, Shiyong
Format: Article
Language:English
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Summary:Research on the efficiency and quality issues faced in aircraft assembly was conducted in this article. A new method of human-machine collaborative riveting was proposed, which combined the flexibility of manual collaboration with the precise control of automatic riveting. The research works include: (1) a theoretical model of pneumatic hammer riveting was established to clarify the principle and parameters of riveting process. (2) A smart bucking bar was designed to support the data collection and extraction of manual collaborative riveting process. (3) An automatic riveting experimental platform was designed to test the automatic riveting process incorporating the extracted manual riveting process parameters, and further an optimization strategy was proposed for the automatic riveting process. (4) A human-machine collaborative riveting experimental platform was developed to conduct the verification work. Through the theoretical analysis, experimental research, system scheme design, and process parameters optimization, the application and verification of human-machine collaborative assembly technology have been achieved. This technology is expected to be comprehensively promoted in the field of aircraft manufacturing, and for breaking through the current difficulties of low production efficiency and poor assembly quality control.
ISSN:2313-7673
2313-7673
DOI:10.3390/biomimetics8080604