Digital twin-based assembly data management and process traceability for complex products |
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| Affiliation: | 1. ICIMSI-SUPSI, Galleria 2, 6928 Manno, Switzerland;2. ITIA-CNR, Via Bassini 15, 20133 Milano, Italy;3. Technology Transfer System S.r.l., Via Pacini 15, 20131 Milano, Italy;4. Virtual Engineering Centre, University of Liverpool, Warrington WA44AD, UK;1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China;2. Hangzhou Innovation Institute, Beihang University, Hangzhou 310052, China;1. Macau Institute of Systems Engineering, Macau University of Science and Technology, Macau, China;2. Institute of Physical Internet, Jinan University (Zhuhai Campus), Zhuhai 519070, China;3. School of Intelligent Systems Science and Engineering, Jinan University (Zhuhai Campus), Zhuhai 519070, China;4. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China;5. Institute of the Belt and Road & Guangdong-Hong Kong-Macao Greater Bay Area, Jinan University, Guangzhou 510632, China;1. Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, Guangdong 510006, China;2. Shenzhen Research Institute, City University of Hong Kong, Shenzhen 518057, China;1. School of Energy and Power Engineering, Beihang University, 100191 Beijing, China;2. School of Transportation Science and Engineering, Beihang University, 100191 Beijing, China;3. Aircraft/Engine Integrated System Safety Beijing Key Laboratory, Beihang University, 100191 Beijing, China;4. Beijing Key Laboratory for High-efficient Power Transmission and System Control of New Energy Resource Vehicle, Beihang University, 100191 Beijing, China;1. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212100, China;2. Jiangsu Provincial Key Laboratory of Advanced Manufacturing for Marine Mechanical Equipment, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212100, China;3. School of Mechanical Engineering, Southeast University, Nanjing 211189, China |
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| Abstract: | Complex products such as satellites, missiles, and aircraft typically have demanding requirements for dynamic data management and process traceability. The assembly process for these complex products involves high complexity, strong dynamics, many uncertainties, and frequent rework and repair, especially in the model development stage. Achieving assembly data management and process traceability for complex products has always been a challenge. A recently proposed solution involves one-to-one mapping of the corresponding physical entity, also known as the digital twin method. This paper proposes a digital twin-based assembly data management and process traceability approach for complex products. First, the dynamic evolutionary process of complex product assembly data was analyzed from three dimensions: granularity, period and version. Then, a framework of digital twin-based assembly data management and process traceability for complex products was constructed. Some core techniques are: 1) workflow-based product assembly data organization and version management; 2) synchronous modeling of the product assembly process based on digital twin; and 3) hierarchical management and traceability of product assembly data based on digital twin. On this basis, an algorithm flowchart for generating a product assembly data package was created, which includes product assembly data management, assembly process traceability, and generation of a product assembly data package. Furthermore, the Digital Twin-based Assembly Process Management and Control System (DT-APMCS) was designed to verify the efficiency of the proposed approach. Some aerospace-related assembly enterprises are currently using DT-APMCS and achieving satisfactory results. Finally, a summary of our work is given, and the future research work is also discussed. |
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| Keywords: | Digital twin Complex product Workflow Data Management Process traceability Product data package |
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