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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Proceedings ArticleDOI
Robust Digital Twin Compositions for Industry 4.0 Smart Manufacturing Systems
TL;DR: Improvements to digital twins for smart cyber-physical production systems (CPPS) in an Industry 4.0 manufacturing workflow in the form of feature toggles that are managed at runtime by software circuit breakers can increase the robustness of interacting digital twins by avoiding local errors from cascading through the distributed production or manufacturing workflow.
Journal ArticleDOI
Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis
TL;DR: This study identifies the current scenarios, possible research gaps, challenges in implementing DT, case studies and future research goals within the research theme.
Journal ArticleDOI
Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes
TL;DR: In this article , a bottom-up conceptual framework is proposed to facilitate a wider implementation of DT technologies and support facility management activities during the O&M phase of buildings, and an illustrative case study approach is performed to analyze and compare the traditional practices of FM with DT-driven FM during the operation and maintenance (O&M) phase using four geospatially representative cases.
Book ChapterDOI
Digital Twins in Architecture, Engineering, Construction and Operations. A Brief Review and Analysis
Ramy Al-Sehrawy,Bimal Kumar +1 more
TL;DR: This paper briefly reviews and analyzes relevant literature to discover the origins of the DT idea; crystallizes a clear definition; identifies DT’s key features; highlights some case studies carried out so far and outlines some of the key applications and the challenges for wider adoption.
Journal ArticleDOI
A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
Varaha Satra Bharath Kurukuru,Ahteshamul Haque,Mohammed Ali Khan,Subham Sahoo,Azra Malik,Frede Blaabjerg +5 more
TL;DR: This paper aims to investigate how AI techniques impact the PV value chain by mapping the currently available AI technologies, identifying possible future uses of AI, and also quantifying their advantages and disadvantages in regard to the conventional mechanisms.
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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