Shape control method of fuselage driven by digital twin

被引：0
作者：
Zhao Y.-S. [1 ,2 ]
Li R.-X. [1 ,2 ]
Niu N.-N. [1 ,3 ]
Zhao Z.-Y. [1 ,3 ]
机构：
[1] Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing
[2] Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing
[3] Machinery Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing Technology, Beijing University of Technology, Beijing
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2022年 / 56卷 / 07期
关键词：
deep learning; digital twin; fuselage shape; genetic algorithm; strategy optimization;
D O I：
10.3785/j.issn.1008-973X.2022.07.021
中图分类号：
学科分类号：
摘要：
A method of fuselage shape control based on digital twin drive was proposed in order to solve the problems of low precision, low efficiency and excessive local stress of manual adjustment. A digital twin system integrating shape control strategy optimization algorithm and virtual debugging technology was constructed. The digital twin system was driven by real-time data. The data interaction and the dynamic mapping between physical space and virtual space of fuselage shape control system were realized. The optimization problem of shape control strategy combining genetic algorithm and deep learning was analyzed. Then the availability of shape control strategy was verified through the ANSYS batch multi-load step method. The shape of fuselage was adjusted by maintaining the stress balance of fuselage barrel section. The experimental results show that the digital twin system and shape control strategy can effectively improve the control accuracy of fuselage barrel section shape by 25.8%, improve the control efficiency of fuselage barrel section shape by 414.3% and reduce the local maximum stress by 42.5%. © 2022 Zhejiang University. All rights reserved.
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收藏
页码：1457 / 1463
页数：6
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