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

Area of Science:

• Manufacturing Engineering
• Aerospace Engineering
• Robotics

Background:

• Aircraft assembly faces challenges in production efficiency and quality control.
• Existing riveting processes often lack flexibility or precise control.

Purpose of the Study:

• To propose and verify a human-machine collaborative riveting method for aircraft manufacturing.
• To improve both the efficiency and quality of aircraft assembly processes.

Main Methods:

• Developed a theoretical model for pneumatic hammer riveting.
• Designed a smart bucking bar for manual riveting data collection.
• Created an automatic riveting platform with process optimization.
• Built a human-machine collaborative riveting experimental platform for verification.

Main Results:

• Established a theoretical framework for pneumatic riveting.
• Enabled data-driven optimization of automatic riveting parameters.
• Successfully verified the human-machine collaborative assembly technology.

Conclusions:

• The proposed human-machine collaborative riveting technology addresses key challenges in aircraft manufacturing.
• This technology offers a pathway to enhanced production efficiency and superior assembly quality control.
• Comprehensive promotion in aircraft manufacturing is anticipated.