Multi-level assembly deviation prediction of aircraft structure based on grey prediction theory

Renhua Li; Yongguo Zhu; Qiang Shi; Tian Zeng; Yezhi Teng

doi:10.1117/12.3026517

1 April 2024 Multi-level assembly deviation prediction of aircraft structure based on grey prediction theory

Renhua Li, Yongguo Zhu, Qiang Shi, Tian Zeng, Yezhi Teng

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130821R (2024) https://doi.org/10.1117/12.3026517
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

Due to the small production of aircraft products, the deviation data is small sample sizes, so assembly deviation can’t be calculated by the probability statistics method. In addition, because the aircraft structure is flexible, it is easy to deform during assembly, so assembly deviation can’t be calculated by assembly dimension chains. Therefore, a multi-level assembly deviation prediction method of aircraft structure is proposed based on the grey prediction theory. Firstly, according to deviation detecting data of assembly part, the deviation prediction model is established. Then the deviation prediction data is calculated based on the deviation prediction model. Secondly, integrating prediction data into the next assembly level, the deviation prediction data of the next assembly level is calculated by building the prediction model of the next assembly level. Finally, the prediction data is fused to the next assembly level continuously, until the assembly deviation prediction data of the product is calculated. The application cases show that the accuracy of the deviation prediction method is 96.0%, which verifies the feasibility and accuracy of the prediction method proposed in this paper.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Renhua Li, Yongguo Zhu, Qiang Shi, Tian Zeng, and Yezhi Teng "Multi-level assembly deviation prediction of aircraft structure based on grey prediction theory", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130821R (1 April 2024); https://doi.org/10.1117/12.3026517

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KEYWORDS

Data modeling

Monte Carlo methods

Aircraft structures

Assembly tolerances

Deformation

Manufacturing

Tolerancing

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