Journal ArticleDOI
Digital twin-driven product design, manufacturing and service with big data
TLDR
In this paper, a new method for product design, manufacturing, and service driven by digital twin is proposed, and three cases are given to illustrate the future applications of digital twin in three phases of a product respectively.Abstract:
Nowadays, along with the application of new-generation information technologies in industry and manufacturing, the big data-driven manufacturing era is coming. However, although various big data in the entire product lifecycle, including product design, manufacturing, and service, can be obtained, it can be found that the current research on product lifecycle data mainly focuses on physical products rather than virtual models. Besides, due to the lack of convergence between product physical and virtual space, the data in product lifecycle is isolated, fragmented, and stagnant, which is useless for manufacturing enterprises. These problems lead to low level of efficiency, intelligence, sustainability in product design, manufacturing, and service phases. However, physical product data, virtual product data, and connected data that tie physical and virtual product are needed to support product design, manufacturing, and service. Therefore, how to generate and use converged cyber-physical data to better serve product lifecycle, so as to drive product design, manufacturing, and service to be more efficient, smart, and sustainable, is emphasized and investigated based on our previous study on big data in product lifecycle management. In this paper, a new method for product design, manufacturing, and service driven by digital twin is proposed. The detailed application methods and frameworks of digital twin-driven product design, manufacturing, and service are investigated. Furthermore, three cases are given to illustrate the future applications of digital twin in the three phases of a product respectively.read more
Citations
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Journal ArticleDOI
A framework for shopfloor material delivery based on real-time manufacturing big data
TL;DR: A framework for shopfloor material delivery based on real-time manufacturing big data is proposed, which can guide manufacturers to make more informed decisions for the shopfloor management.
Posted Content
Role of Digital Twin in Optical Communication: Fault Management, Hardware Configuration, and Transmission Simulation
TL;DR: The intelligent fault management model, flexible hardware configuration model, and dynamic transmission simulation model are established in the digital space with the help of deep learning algorithms to ensure the high-reliability operation and high-ef-ficiency management of optical communication systems and networks.
Journal ArticleDOI
A digital twin-driven hybrid approach for the prediction of performance degradation in transmission unit of CNC machine tool
TL;DR: In this paper , a hybrid approach framework driven by digital twin technology (DT) to predict performance degradation is presented, which combines the mechanism of the physical degradation processes with the real-time and historical data and turns them into a cooperative architecture.
Journal ArticleDOI
Towards next generation cyber-physical systems and digital twins for construction
TL;DR: In this paper, the authors describe cyber physical integration of emerging technologies with the physical construction or constructed facility as the next generation digital twin and cyber-physical systems, and potential scenarios of next generation cyber physical system and digital twin for improving workforce productivity, health, and safety, lifecycle management of building systems and workforce competency are presented.
Journal ArticleDOI
Analyzing scientific research topics in manufacturing field using a topic model
TL;DR: By quantifying the temporal trends of topics at the country/area level, it is found that researchers in different regions tend to focus on different sub-fields, while adjacent countries/areas commonly share research topics.
References
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Journal ArticleDOI
Internet of Things in Industries: A Survey
Li Da Xu,Wu He,Shancang Li +2 more
TL;DR: This review paper summarizes the current state-of-the-art IoT in industries systematically and identifies research trends and challenges.
Proceedings ArticleDOI
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
TL;DR: In this article, the Digital Twin system integrates ultra-high fidelity simulation with the vehicle s on-board integrated vehicle health management system, maintenance history and all available historical and fleet data to enable unprecedented levels of safety and reliability.
Journal ArticleDOI
Reengineering Aircraft Structural Life Prediction Using a Digital Twin
TL;DR: A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented and the technical challenges to developing and deploying a Digital Twin are discussed.
Book ChapterDOI
Digital Twin—The Simulation Aspect
Stefan Boschert,Roland Rosen +1 more
TL;DR: This chapter focuses on the simulation aspects of the Digital Twin, where simulation merges the physical and virtual world in all life cycle phases and enables the users to master the complexity of mechatronic systems.
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