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Volume 13
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10.3390/app13084999
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Article

Assembly Error Modeling and Tolerance Dynamic Allocation of Large-Scale Space Deployable Mechanism toward Service Performance

by
Xinyu Liu
1,2,
Lianyu Zheng
1,2,
Yiwei Wang
1,2,*,
Weiwei Yang
1,2,
Binbin Wang
1,2 and
Bo Liu
3
1
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
2
MIIT Key Laboratory of Intelligent Manufacturing Technology for Aeronautics Advanced Equipment, Ministry of Industry and Information Technology, Beijing 100191, China
3
Beijing Spacecrafts Manufacturing Co., Ltd., Beijing 100094, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(8), 4999; https://doi.org/10.3390/app13084999
Submission received: 12 March 2023 / Revised: 11 April 2023 / Accepted: 14 April 2023 / Published: 16 April 2023
(This article belongs to the Section Aerospace Science and Engineering)
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Abstract

As a satellite’s critical load-bearing structure, the large-scale space deployable mechanism (LSDM) is currently assembled using ground precision constraints, which ignores the difference between the ground and space environments. This has resulted in considerable service performance uncertainties in space. To improve satellite service performance, an assembly error model considering the space environment and a tolerance dynamic allocation method based on as-built data are proposed in this paper. Firstly, the factors influencing the service performance during ground assembly were analyzed. Secondly, an assembly error model was constructed, which considers the influence factors of the ground and space environment. Thirdly, on the basis of the assembly error model, the tolerance dynamic allocation method based on as-built data was proposed, which can effectively reduce the assembly difficulty and cost on the premise of ensuring service performance. Finally, the proposed method was validated in an assembly site, and the results show that the pointing accuracy, which is the core indicator of the satellite service performance, was improved from 0.068° to 0.045° and that the assembly cost was reduced by about 13.5%.
Keywords: assembly error modeling; tolerance dynamic allocation; as-built data; service performance; large-scale space deployable mechanism assembly error modeling; tolerance dynamic allocation; as-built data; service performance; large-scale space deployable mechanism

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MDPI and ACS Style

Liu, X.; Zheng, L.; Wang, Y.; Yang, W.; Wang, B.; Liu, B. Assembly Error Modeling and Tolerance Dynamic Allocation of Large-Scale Space Deployable Mechanism toward Service Performance. Appl. Sci. 2023, 13, 4999. https://doi.org/10.3390/app13084999

AMA Style

Liu X, Zheng L, Wang Y, Yang W, Wang B, Liu B. Assembly Error Modeling and Tolerance Dynamic Allocation of Large-Scale Space Deployable Mechanism toward Service Performance. Applied Sciences. 2023; 13(8):4999. https://doi.org/10.3390/app13084999

Chicago/Turabian Style

Liu, Xinyu, Lianyu Zheng, Yiwei Wang, Weiwei Yang, Binbin Wang, and Bo Liu. 2023. "Assembly Error Modeling and Tolerance Dynamic Allocation of Large-Scale Space Deployable Mechanism toward Service Performance" Applied Sciences 13, no. 8: 4999. https://doi.org/10.3390/app13084999

APA Style

Liu, X., Zheng, L., Wang, Y., Yang, W., Wang, B., & Liu, B. (2023). Assembly Error Modeling and Tolerance Dynamic Allocation of Large-Scale Space Deployable Mechanism toward Service Performance. Applied Sciences, 13(8), 4999. https://doi.org/10.3390/app13084999

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