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Aerospace
Volume 11
Issue 7
10.3390/aerospace11070515
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Open AccessArticle
by Jing Li SciProfiles Scilit Preprints.org Google Scholar Yang Wang SciProfiles Scilit Preprints.org Google Scholar Ligang Qu SciProfiles Scilit Preprints.org Google Scholar Minghai Wang SciProfiles Scilit Preprints.org Google Scholar Guangming Lv SciProfiles Scilit Preprints.org Google Scholar Pengfei Su SciProfiles Scilit Preprints.org Google Scholar 
Jing LiYang WangLigang QuMinghai WangGuangming Lv
and Pengfei Su
1
Aviation Manufacturing Technology Digital Defense Key Discipline Laboratory, Shenyang Aerospace University, Shenyang 110136, China
2
School of Mechanical and Electrical Engineering, Shenyang Aerospace University, Shenyang 110136, China
3
Civil Aviation College, Shenyang Aerospace University, Shenyang 110136, China
4
School of Artificial Intelligence, Shenyang Aerospace University, Shenyang 110136, China
*
Authors to whom correspondence should be addressed.
Aerospace 2024, 11(7), 515; https://doi.org/10.3390/aerospace11070515
Submission received: 13 May 2024 / Revised: 18 June 2024 / Accepted: 19 June 2024 / Published: 25 June 2024
Abstract
The aim of manufacturing large aerospace parts for the three-dimensional scanning field demands high precision and efficiency. However, it may be more challenging to meet the full coverage of the measurement problems for large aerospace parts with the scanning range of traditional three-dimensional scanning methods. This paper establishes a dynamic posturing scanning measurement system for large aerospace parts with a six-degree-of-freedom posturing platform and a six-degree-of-freedom industrial robot linkage. It establishes a mathematical model of dynamic three-dimensional scanning posturing. It proposes a platform attitude adjustment strategy based on the field of view angle of a 3D scanner during the adjustment of a six-degree-of-freedom platform. The dynamic scanning path planning is carried out using the three-dimensional spatial decomposition method, and the vector coordinates of the critical points at the edges of the missing areas of the scan are used to re-scan the missing areas to establish the dynamic scanning paths of large aerospace parts. It is experimentally verified that the system can realize the dynamic scanning of complex curved large aerospace parts. The experimental results show that the measurement efficiency is improved by more than 75%, and the point cloud coverage of the scanning reconstruction is improved by 18% for large aerospace components with complex surfaces.
Keywords: dynamic scanning; trajectory planning; industrial robotics; position transformation adjustment; six-degree-of-freedom platform
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MDPI and ACS Style
Li, J.; Wang, Y.; Qu, L.; Wang, M.; Lv, G.; Su, P. Study on Dynamic Scanning Trajectory of Large Aerospace Parts Based on 3D Scanning. Aerospace 2024, 11, 515. https://doi.org/10.3390/aerospace11070515
AMA Style
Li J, Wang Y, Qu L, Wang M, Lv G, Su P. Study on Dynamic Scanning Trajectory of Large Aerospace Parts Based on 3D Scanning. Aerospace. 2024; 11(7):515. https://doi.org/10.3390/aerospace11070515
Chicago/Turabian Style
Li, Jing, Yang Wang, Ligang Qu, Minghai Wang, Guangming Lv, and Pengfei Su. 2024. "Study on Dynamic Scanning Trajectory of Large Aerospace Parts Based on 3D Scanning" Aerospace 11, no. 7: 515. https://doi.org/10.3390/aerospace11070515
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
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MDPI and ACS Style
Li, J.; Wang, Y.; Qu, L.; Wang, M.; Lv, G.; Su, P. Study on Dynamic Scanning Trajectory of Large Aerospace Parts Based on 3D Scanning. Aerospace 2024, 11, 515. https://doi.org/10.3390/aerospace11070515
AMA Style
Li J, Wang Y, Qu L, Wang M, Lv G, Su P. Study on Dynamic Scanning Trajectory of Large Aerospace Parts Based on 3D Scanning. Aerospace. 2024; 11(7):515. https://doi.org/10.3390/aerospace11070515
Chicago/Turabian Style
Li, Jing, Yang Wang, Ligang Qu, Minghai Wang, Guangming Lv, and Pengfei Su. 2024. "Study on Dynamic Scanning Trajectory of Large Aerospace Parts Based on 3D Scanning" Aerospace 11, no. 7: 515. https://doi.org/10.3390/aerospace11070515
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
Aerospace, EISSN 2226-4310, Published by MDPI
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