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3D Microdisplacement Monitoring of Large Aircraft Assembly with Automated In Situ Calibration
- Source :
- Engineering. 19:105-116
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Three-dimensional (3D) microdisplacement monitoring plays a crucial role in the assembly of large aircraft. This paper presents a broadly applicable high-precision online 3D microdisplacement monitoring method and system based on proximity sensors as well as a corresponding in situ calibration method, which can be applied under various extreme working conditions encountered in the aircraft assembly process, such as compact and obstructed spaces. A 3D monitoring model is first established to achieve 3D microdisplacement monitoring based only on the one-dimensional distances measured by proximity sensors, which concerns the extrinsic sensor parameters, such as the probe base point (PBP) and the unit displacement vector (UDV). Then, a calibration method is employed to obtain these extrinsic parameters with high precision by combining spatial transformation principles and weighted optimization. Finally, calibration and monitoring experiments performed for a tailplane assembly process are reported. The calibration precision for the PBP is better than ±10 μm in the X and Y directions and ±2 μm in the Z direction, and the calibration precision for the UDV is better than 0.07°. Moreover, the accuracy of the 3D microdisplacement monitoring system can reach ±15 μm. In general, this paper provides new insights into the modeling and calibration of 3D microdisplacement monitoring based on proximity sensors and a precise, efficient, and low-cost technical means for performing related measurements in compact spaces during the aircraft assembly process.
- Subjects :
- Environmental Engineering
Tailplane
General Computer Science
Mathematical model
Computer science
Materials Science (miscellaneous)
General Chemical Engineering
Real-time computing
General Engineering
Process (computing)
Energy Engineering and Power Technology
In situ calibration
Proximity sensor
Calibration
Point (geometry)
Monitoring methods
Subjects
Details
- ISSN :
- 20958099
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Engineering
- Accession number :
- edsair.doi...........7bba3f7b68ec134f8b498beccb8b635b
- Full Text :
- https://doi.org/10.1016/j.eng.2021.02.023