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Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line

Qingcai Wu, Yunsheng Mao, Jianxun Chen, Chong Wang

2021Journal of Marine Science and Engineering72 citationsDOIOpen Access PDF

Abstract

Digital twin has aroused extensive attention of international academia and industry to support future interaction with the physical and virtual world. Although the research and application of digital twin spring up continuously, the concept in the manufacturing domain remains in its infancy. In this context, this paper first reviews the applications of digital twins for intelligent manufacturing. Then it presents an innovative application framework of a digital twin-driven ship intelligent manufacturing system and analyzes its operation mechanism. The application framework of a digital twin-driven ship intelligent manufacturing system mainly includes five parts: the physical layer, model layer, data layer, system layer, and application layer. Finally, key enabling techniques, as well as a case study in a pipe machining production line, are constructed and studied to validate the proposed approach. Meanwhile, system design and implementation, the twin modeling construction, application process, and implementation effect of the pipe machining production line are described in detail to provide a reference for enterprises.

Topics & Concepts

MachiningLayer (electronics)Production lineContext (archaeology)Manufacturing engineeringDigital manufacturingComputer scienceEngineeringMechanical engineeringPaleontologyBiologyChemistryOrganic chemistryDigital Transformation in IndustryManufacturing Process and OptimizationTechnology Assessment and Management
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