Construction of the full life cycle data management model for complex aerospace products based on digital twins
Complex aerospace products such as satellites, missiles, and rockets have features like high complexity, strong dynamics, and frequent design changes during the design and manufacturing processes. Thus, data management throughout full life cycle of complex aerospace products is a challenge. However, the emergence of the concept of digital twins offers a new management model for full life cycle data management of complex aerospace products. To achieve data management at all stage from design to manufacturing of complex aerospace products, this paper proposes full life cycle data management method for complex aerospace products based on digital twins. Firstly, the evolution process of full life cycle data of complex aerospace products is analyzed from the perspective of the concept of digital twins. Based on this, a full life cycle data management model for complex aerospace products based on digital twins is constructed, and key technologies such as the workflow-based business process management system for the design-process-manufacturing of complex aerospace products and the construction of the digital twin model for the production quality management of complex aerospace products are broken through. On this basic, full life cycle data management system for complex aerospace products based on digital twins is developed, verifying the effectiveness of this method. Finally, the work of this paper is summarized, and the future research works is discussed.
Authors
- Siping Peng
- Shen Yan (ORCID: https://orcid.org/0000-0003-3189-8821)
- Kai Huang (ORCID: https://orcid.org/0000-0003-3348-2723)
- Li Peng (ORCID: https://orcid.org/0000-0003-0016-2977)
- Fan Xu (ORCID: https://orcid.org/0000-0002-1358-0193)
- Wentao Yu (ORCID: https://orcid.org/0000-0003-0096-4128)
- Jiang Wu
- Yucheng Yu
Institutions
- Shanghai Power Equipment Research Institute (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/aiim64537.2024.10934453
- Citations
- 1
- Primary Topic
- Technology Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.36