Title
Combined Measurement Based Wing-Fuselage Assembly Coordination via Multiconstraint Optimization
Abstract
In the field of aircraft manufacturing, the demand for high aerodynamic performance and long fatigue life is growing. This makes the high-precision assembly of large components and assembly coordination increasingly important. This is particularly prominent for wing-fuselage joining due to the large size, measurement difficulty, and multiconstraint coordination. In this article, we propose a novel optimization method for the wing-fuselage assembly coordination problem, as well as an assembly gap measurement approach. First, a gap measurement framework combining a laser tracker, 3-D scanner, and photogrammetry is adopted to solve the occlusion problem that makes measurement difficult in traditional methods. Compatible tooling is utilized to transform the scanned point cloud data in the local coordinate system to the global aircraft assembly coordinate system. Based on this, a comprehensive wing-fuselage pose coordination model is then established, which takes engineering constraints into account to realize assembly gap redistribution for wing-fuselage joining. The transformation parameters of pose adjustment are solved by the proposed multiconstraint optimization algorithm based on the Gauss-Newton method. Finally, experiments on synthetic data and actual data have verified the effectiveness of the coordination method. Results show that our method significantly optimizes the gap distribution within the given tolerance and outperforms traditional methods in both accuracy and efficiency. With advantages of high efficiency and accuracy, our method can be well applied to the wing-fuselage joining and satisfy the requirement of the large component assembly.
Year
DOI
Venue
2022
10.1109/TIM.2022.3186675
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Keywords
DocType
Volume
Aircraft, Measurement by laser beam, Three-dimensional displays, Extraterrestrial measurements, Aircraft manufacture, Point cloud compression, Optimization, Aircraft measurement, assembly coordination, assembly gaps, multiconstraint optimization, point cloud, pose adjustment
Journal
71
ISSN
Citations 
PageRank 
0018-9456
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Yan Wang118362.13
Yuanpeng Liu211.70
Honghua Chen362.76
Qian Xie4169.82
Kaijun Zhang500.34
Jun Wang637247.52