Automatic Quality Control System for Aircraft Assembly During the Whole Life Cycle Based on Digital Twin
Alignment of aircraft components is crucial in the assembly process, involving the collaborative work of measurement and control systems, and the alignment quality directly affects the assembly qualification rate and rework rate. Currently, the quality assessment mainly relies on manual experience and lacks automated control means, making it difficult to realize accurate traceability of alignment quality. Based on this, this paper proposes a digital twin-based automated control method for whole life cycle aircraft assembly quality data, which improves the efficiency and reliability of alignment quality analysis. Firstly, the distribution of quality data in the aircraft alignment process and how it is specifically applied are sorted out. Secondly, a multi-tier architecture of the digital twin system was constructed. The automated categorization stores and evaluates the quality data in the alignment process during the whole life cycle of quality data acquisition, analysis, and utilization. Dynamic twin monitoring of real-time quality data is based on assessment results. Effective traceability and dynamic control from quality data to process are achieved by visualizing alignment quality throughout the aircraft assembly life cycle.
Authors
- Runze Liu (ORCID: https://orcid.org/0000-0002-1334-4094)
- Ye Xia (ORCID: https://orcid.org/0000-0002-2313-0102)
- Yajun Li (ORCID: https://orcid.org/0000-0003-4112-1063)
- Liu Wei (ORCID: https://orcid.org/0000-0001-6280-0407)
- Yang Zhang (ORCID: https://orcid.org/0000-0001-7123-5315)
- Changyong Gao (ORCID: https://orcid.org/0000-0001-6196-6704)
- Xikang Cheng
- Haoyu Wu (ORCID: https://orcid.org/0000-0002-3577-1089)
Institutions
- Commercial Aircraft Corporation of China (China) (CN)
- Dalian University of Technology (CN)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/icsece61636.2024.10729305
- Citations
- 1
- Primary Topic
- Technology Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- National Natural Science Foundation of China