Detecting the normal-direction in automated aircraft manufacturing based on adaptive alignment
Ying Zhang1, Hongchang Ding1,2, Changfu Zhao1
1School of Mechanical Engineering, Changchun University of Science and Technology, Changchun, Jilin, China.
Science Progress
|December 28, 2020
Summary
This study introduces a new method for detecting hole direction in aircraft manufacturing. The adaptive alignment technology significantly improves accuracy, ensuring better structural integrity and performance.
Area of Science:
- Aerospace Engineering
- Manufacturing Technology
- Quality Control
Background:
- Vertical accuracy of connection holes is critical for aircraft quality and fatigue performance.
- Automated robotic systems in aircraft manufacturing are susceptible to errors affecting hole positioning and detection accuracy.
Purpose of the Study:
- To develop and validate a novel technology for detecting the normal-direction of holes using adaptive alignment.
- To enhance the accuracy of hole manufacturing and detection in automated aircraft assembly.
Main Methods:
- Proposed an adaptive alignment method for normal-direction detection.
- Developed a mathematical model for posture alignment and studied device calibration.
- Investigated error compensation techniques using electronic theodolites.
Main Results:
- Achieved normal accuracy of less than 0.5 degrees.
- Obtained an average deviation of 0.0667 degrees after correction.
- Demonstrated effective error compensation in verification experiments.
Conclusions:
- The adaptive alignment method effectively compensates for errors in automated hole making.
- The technology significantly improves robotic positioning and normal-direction detection accuracy in aircraft manufacturing.
Keywords:
Automatic drilling and rivetingadaptive alignmentautomatic aircraft manufacturingdetecting the normal-directionrobotics posture compensationMore Related Videos
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