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Journal Article•DOI•

Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0

Xi Vincent Wang1, Lihui Wang1•
Royal Institute of Technology1
18 Jun 2019-International Journal of Production Research (Taylor & Francis)-Vol. 57, Iss: 12, pp 3892-3902
TL;DR: The main contribution presented in this paper is the novel digital twin-based system for the WEEE recovery to support the manufacturing/remanufacturing operations throughout the product’s life cycle, from design to recovery.
Abstract: The waste electrical and electronic equipment (WEEE) recovery can be categorised into two types, i.e. recycling at the material level and remanufacturing at the component level. However, the WEEE r...
Citations
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Journal Article•DOI•
Characterising the Digital Twin: A systematic literature review

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David Edward Jones1, Chris Snider1, Aydin Nassehi1, Jason Yon1, Ben Hicks1 •
University of Bristol1
09 Mar 2020-Cirp Journal of Manufacturing Science and Technology
TL;DR: A characterisation of the Digital Twin is provided, identification of gaps in knowledge, and required areas of future research are identified: Perceived Benefits; Digital Twin across the Product Life-Cycle; Use-Cases; Technical Implementations; Levels of Fidelity; Data Ownership; and Integration between Virtual Entities; each of which are required to realise the Digital twin.
Abstract: While there has been a recent growth of interest in the Digital Twin, a variety of definitions employed across industry and academia remain. There is a need to consolidate research such to maintain a common understanding of the topic and ensure future research efforts are to be based on solid foundations. Through a systematic literature review and a thematic analysis of 92 Digital Twin publications from the last ten years, this paper provides a characterisation of the Digital Twin, identification of gaps in knowledge, and required areas of future research. In characterising the Digital Twin, the state of the concept, key terminology, and associated processes are identified, discussed, and consolidated to produce 13 characteristics (Physical Entity/Twin; Virtual Entity/Twin; Physical Environment; Virtual Environment; State; Realisation; Metrology; Twinning; Twinning Rate; Physical-to-Virtual Connection/Twinning; Virtual-to-Physical Connection/Twinning; Physical Processes; and Virtual Processes) and a complete framework of the Digital Twin and its process of operation. Following this characterisation, seven knowledge gaps and topics for future research focus are identified: Perceived Benefits; Digital Twin across the Product Life-Cycle; Use-Cases; Technical Implementations; Levels of Fidelity; Data Ownership; and Integration between Virtual Entities; each of which are required to realise the Digital Twin.

775 citations

Additional excerpts

  • ...16 Technical Implementations [16] [98] [87] [51] [12] [57] [77] [100] [112] [105] [11] [109] [22] [17] [16] [16] [94] [112] [111] [107] [112] [111] [107] [106] [112] [110] [5] [57] [75] [104] [71] [2] [27] [6] [55] [16] [87] [46] [80] [8] [100] [88] [84] [112] [46] [80]...

    [...]

  • ...4 Virtual Environment [33] [42] [103] [80] [77] [94] [53] [85] [8] [100] [15] [97] [56] [88] [68] [84] [112] [104] [99] [78] [1] [111] [46] [106] [30] [7] [63] [76] [54] [14] [109] [21] [73] [20] [67] [27] [90] [6] [17] [91] [48] [55] [49] [16] [92] [98] [62] [87] [110] [89] [5] [51] [57]...

    [...]

  • ...14 Digital Twin across the Product Life-Cycle [103] [80] [77] [85] [100] [56] [84] [112] [37] [99] [78] [1] [111] [36] [52] [11] [106] [30] [71] [63] [76] [54] [109] [21] [61] [73] [20] [2] [67] [58] [22] [70] [17] [91] [4] [48] [55] [49] [92] [107] [9] [66] [110] [57] [101]...

    [...]

  • ...These include Internet-of-Things sensors [98] [87] [51] [12] [57] [77] [100] [112] [105] [11] [109] [22] [17] [16], web-services [56] [8] [100], 5G [16], and customer requirements [103]....

    [...]

  • ...8 Physical-toVirtual Connection [33] [80] [77] [94] [100] [15] [64] [56] [75] [84] [112] [104] [99] [105] [32] [111] [46] [36] [52] [11] [106] [30] [7] [71] [63] [54] [14] [109] [61] [20] [2] [40] [67] [27] [58] [35] [22] [6] [17] [4] [48] [55] [49] [95] [16] [92] [98] [87] [107] [39] [9] [110] [89] [5] [51] [12] [57]...

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Journal Article•DOI•
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

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Yuqian Lu1, Chao Liu2, Kevin I-Kai Wang1, Huiyue Huang1, Xun Xu1 •
University of Auckland1, Cardiff University2
01 Feb 2020-Robotics and Computer-integrated Manufacturing
TL;DR: The definition and state-of-the-art development outcomes of Digital Twin are summarized, and outstanding research issues of developing Digital Twins for smart manufacturing are identified.
Abstract: This paper reviews the recent development of Digital Twin technologies in manufacturing systems and processes, to analyze the connotation, application scenarios, and research issues of Digital Twin-driven smart manufacturing in the context of Industry 4.0. To understand Digital Twin and its future potential in manufacturing, we summarized the definition and state-of-the-art development outcomes of Digital Twin. Existing technologies for developing a Digital Twin for smart manufacturing are reviewed under a Digital Twin reference model to systematize the development methodology for Digital Twin. Representative applications are reviewed with a focus on the alignment with the proposed reference model. Outstanding research issues of developing Digital Twins for smart manufacturing are identified at the end of the paper.

649 citations

Journal Article•DOI•
Review of digital twin about concepts, technologies, and industrial applications

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Mengnan Liu1, Shuiliang Fang1, Huiyue Dong1, Cunzhi Xu1•
Zhejiang University1
01 Jan 2021-Journal of Manufacturing Systems
TL;DR: A comprehensive and in-depth review of these literatures to analyze digital twin from the perspective of concepts, technologies, and industrial applications is conducted.

555 citations

Journal Article•DOI•
Review of digital twin applications in manufacturing

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Chiara Cimino1, Elisa Negri1, Luca Fumagalli1•
Polytechnic University of Milan1
01 Dec 2019-Computers in Industry
TL;DR: What is still missing in the implemented DT to be compliant to their description in literature is identified and the developed DT paves the way for future research to close the loop between the MES and the DT taking into consideration the number of services that a DT could offer in a single environment.

363 citations

Journal Article•DOI•
Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

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Paolo Rosa1, Claudio Sassanelli1, Andrea Urbinati1, Davide Chiaroni1, Sergio Terzi1 •
Polytechnic University of Milan1
18 Mar 2020-International Journal of Production Research
TL;DR: An innovative framework both highlighting the links between I4.0 and CE and unveiling future research fields has been developed, and results show as it is possible to enhance a set of different relations.
Abstract: Industry 4.0 (I4.0) and Circular Economy (CE) are undoubtedly two of the most debated topics of the last decades. Progressively, they gained the interest of policymakers, practitioners and scholars...

322 citations

References
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Proceedings Article•DOI•
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles

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Edward H. Glaessgen1, D. S. Stargel•
Langley Research Center1
16 Apr 2012
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.
Abstract: Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation. Current approaches for certification, fleet management and sustainment are largely based on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions and will likely be unable to address these extreme requirements. To address the shortcomings of conventional approaches, a fundamental paradigm shift is needed. This paradigm shift, the Digital Twin, 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 mirror the life of its flying twin and enable unprecedented levels of safety and reliability.

1,183 citations

"Digital twin-based WEEE recycling, ..." refers background in this paper

  • ...Beyond simulation, Glaessgen and Stargel (2012) interpreted the digital twin as the virtual digital fleet leader and pointed out its importance to design, verification, testing, monitoring, prediction, health management and maintenance by improving the reliability and safety....

    [...]

Journal Article•DOI•
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

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Roland Rosen1, Georg von Wichert1, George Lo2, Kurt Dirk Bettenhausen2•
Siemens1, Princeton University2
01 Jan 2015-IFAC-PapersOnLine
TL;DR: In this paper, the authors discuss the importance of industrial manufacturing for economy and society, including the question about the future of labor and technical and technological questions that have to be taken care of as well.

854 citations

"Digital twin-based WEEE recycling, ..." refers background in this paper

  • ...New Industry 4.0 services were also suggested based on the digital twin, to generate insights that can be utilised for the future car design and optimisation (Rüßmann et al. 2015)....

    [...]

Journal Article•DOI•
Reengineering Aircraft Structural Life Prediction Using a Digital Twin

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Eric J. Tuegel, Anthony R. Ingraffea, Thomas Eason, S. Michael Spottswood
23 Oct 2011-International Journal of Aerospace Engineering
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.
Abstract: Reengineering of the aircraft structural life prediction process to fully exploit advances in very high performance digital computing is proposed. The proposed process utilizes an ultrahigh fidelity model of individual aircraft by tail number, a Digital Twin, to integrate computation of structural deflections and temperatures in response to flight conditions, with resulting local damage and material state evolution. 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. The technical challenges to developing and deploying a Digital Twin are discussed in detail.

681 citations

"Digital twin-based WEEE recycling, ..." refers background in this paper

  • ...Tuegel et al. (2011, 2012) further extended the digital twin from aerospace scenarios to aircraft....

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Book Chapter•DOI•
Digital Twin—The Simulation Aspect

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Stefan Boschert1, Roland Rosen1•
Siemens1
01 Jan 2016
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.
Abstract: The vision of the Digital Twin itself refers to a comprehensive physical and functional description of a component, product or system, which includes more or less all information which could be useful in all—the current and subsequent—lifecycle phases. In this chapter we focus on the simulation aspects of the Digital Twin. Today, modelling and simulation is a standard process in system development, e.g. to support design tasks or to validate system properties. During operation and for service first simulation-based solutions are realized for optimized operations and failure prediction. In this sense, simulation merges the physical and virtual world in all life cycle phases. Current practice already enables the users (designer, SW/HW developers, test engineers, operators, maintenance personnel, etc) to master the complexity of mechatronic systems.

668 citations

"Digital twin-based WEEE recycling, ..." refers methods in this paper

  • ...At the design phase, Boschert and Rosen (2016) proposed an information system using digital twin across the product design, engineering, operation and service phases....

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Journal Article•DOI•
Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet

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Jorge Posada, Carlos Toro, Iñigo Barandiaran, David Oyarzun, Didier Stricker1, Raffaele De Amicis, Eduardo B. Pinto, Peter Eisert2, Jürgen Döllner3, Ivan Vallarino •
German Research Centre for Artificial Intelligence1, Heinrich Hertz Institute2, Hasso Plattner Institute3
20 Mar 2015-IEEE Computer Graphics and Applications
TL;DR: This article positions visual computing in its intrinsic crucial role for Industrie 4.0 and provides a general, broad overview and points out specific directions and scenarios for future research.
Abstract: A worldwide movement in advanced manufacturing countries is seeking to reinvigorate (and revolutionize) the industrial and manufacturing core competencies with the use of the latest advances in information and communications technology. Visual computing plays an important role as the "glue factor" in complete solutions. This article positions visual computing in its intrinsic crucial role for Industrie 4.0 and provides a general, broad overview and points out specific directions and scenarios for future research.

501 citations

Related Papers (5)
Digital twin-driven product design, manufacturing and service with big data

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01 Feb 2018-The International Journal of Advanced Manufacturing Technology
Fei Tao, Jiangfeng Cheng, Qinglin Qi, Meng Zhang, He Zhang, Fangyuan Sui 
A Review of the Roles of Digital Twin in CPS-based Production Systems

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01 Jan 2017-Procedia Manufacturing
Elisa Negri, Luca Fumagalli, Marco Macchi
Shaping the digital twin for design and production engineering

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01 Jan 2017-CIRP Annals
Benjamin Schleich, Nabil Anwer, Luc Mathieu, Sandro Wartzack 
Digital Twin in manufacturing: A categorical literature review and classification

[...]

01 Jan 2018-IFAC-PapersOnLine
Werner Kritzinger, Matthias Karner, Georg Traar, Jan Henjes, Wilfried Sihn 
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

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01 Jan 2015-IFAC-PapersOnLine
Roland Rosen, Georg von Wichert, George Lo, Kurt Dirk Bettenhausen