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.

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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

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article

Automatic Quality Control System for Aircraft Assembly During the Whole Life Cycle Based on Digital Twin

Runze Liu, Ye Xia, Yajun Li, Liu Wei et al.
1 citations
Technology Assessment and Management
0.36
article

Automatic Quality Control System for Aircraft Assembly During the Whole Life Cycle Based on Digital Twin

Runze Liu, Ye Xia, Yajun Li, Liu Wei, Yang Zhang, Changyong Gao, Xikang Cheng, Haoyu Wu
article en
1 citations

Abstract

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.

Commercial Aircraft Corporation of China (China) (CN), Dalian University of Technology (CN)
National Natural Science Foundation of China
Responsible consumption and production
Openalex Percentile: Top 38%
Technology Assessment and Management
0.36
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