Design of the cleaning and lubrication system for aeroengine fan blade

Dandan Hu; Xingqi Zhao; Guochen Niu

doi:10.1117/12.2640870

24 October 2022 Design of the cleaning and lubrication system for aeroengine fan blade

Dandan Hu, Xingqi Zhao, Guochen Niu

Proceedings Volume 12289, International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022); 1228906 (2022) https://doi.org/10.1117/12.2640870
Event: International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022), 2022, Kunming, China

Abstract

In order to improve deficiencies in manual cleaning and lubrication of aero-engine fan blades, such as high working intensity, uneven lubrication, cleaning and lubrication toxic materials, the cleaning and lubrication system of aero-engine fan blades is designed. The system structure, hardware and software control scheme design are completed based on the maintenance work card standard. The cleaning operation can be realized through a combination of mechanical cleaning, ultrasonic cleaning, and the lubrication operation can be completed through industrial robots. The data exchange among the touch screen, mobile robot, PLC, industrial robot and PC five-terminal equipment is realized by using Modbus protocol, and the design of human-computer interface is completed with HMI touch screen. The system can realize automatic cleaning and lubrication operation flow, and avoid direct human contact with cleaning and lubricating toxic solvents. The engine blade cleaning efficiency is 60 s/pc, the lubrication efficiency is 55 s/pc, and the overall operation efficiency is 3.39 times higher than that of manual work. Through actual verification, the system is proved to be able to achieve stable and efficient operation, and has high engineering application value.

Citation Download Citation

Dandan Hu, Xingqi Zhao, and Guochen Niu "Design of the cleaning and lubrication system for aeroengine fan blade", Proc. SPIE 12289, International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022), 1228906 (24 October 2022); https://doi.org/10.1117/12.2640870

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