Design-Manufacturing-Operation & Maintenance (O&M) Integration of Complex Product Based on Digital Twin

This paper presents a complex product design-manufacturing-operations and maintenance integration method based on digital twin technology. This method aims to solve the problem of information silos in the design, manufacturing and operation and maintenance phases of complex products in the context o...

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Bibliographic Details
Published inApplied sciences Vol. 13; no. 2; p. 1052
Main Authors Zhang, Chuanwei, Dong, Lingling, Wang, Yunrui
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2023
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ISSN2076-3417
2076-3417
DOI10.3390/app13021052

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Summary:This paper presents a complex product design-manufacturing-operations and maintenance integration method based on digital twin technology. This method aims to solve the problem of information silos in the design, manufacturing and operation and maintenance phases of complex products in the context of intelligent manufacturing and to integrate the design, manufacturing and operation and maintenance processes of complex products. To address the integration needs of complex product design, manufacturing, operation and maintenance business integration, a framework for complex product design-manufacturing-operation and maintenance integration based on the digital twin is first proposed, in addition to designing a model and operation mechanism for combining the virtual and real of the digital twin model. Then, the implementation of multistage collaborative design technology, data intelligent sensing technology, and data integration and fusion technology for the digital twin-based design-manufacturing-operations and maintenance integration processes are analyzed and discussed. Finally, a case study involving the fault prediction of key components of the bogie of an EMU demonstrated the integrated mode of operation in the design-manufacture-operation and maintenance process of the EMU. It verified the effectiveness of the proposed framework, process and methodology.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app13021052