A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0

Guo, Daqiang; Ling, Shiquan; Li, Hao; Ao, Di; Zhang, Tongda; Ye, Rong; Huang, George Q.

doi:10.1109/case48305.2020.9216732

Cited by 42 publications

(38 citation statements)

References 17 publications

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“…In this regard, the establishment of a secure strategy to ensuring provenance, quality compliance and intellectual property protection in AM largely depends on existing knowledge and new achievements in materials science and technology. However, as already happens for diamonds and fashion products [ 67 ], emerging trends in the literature suggest that, in the future, traceability in AM will also benefit from digital platforms and especially from blockchain-based solutions, where the virtual twin of the physical object is safely stored in the blockchain and the tagging feature becomes the hyperlink between the physical and cyber worlds [ 20 , 23 , 30 , 51 , 68 , 69 ]. To this aim, materials engineers will be asked to integrate manufacturing technology and information systems.…”

Section: Discussion and Critical Considerationsmentioning

confidence: 99%

How Can We Provide Additively Manufactured Parts with a Fingerprint? A Review of Tagging Strategies in Additive Manufacturing

et al. 2021

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Additive manufacturing (AM) is rapidly evolving from “rapid prototyping” to “industrial production”. AM enables the fabrication of bespoke components with complicated geometries in the high-performance areas of aerospace, defence and biomedicine. Providing AM parts with a tagging feature that allows them to be identified like a fingerprint can be crucial for logistics, certification and anti-counterfeiting purposes. Whereas the implementation of an overarching strategy for the complete traceability of AM components downstream from designer to end user is, by nature, a cross-disciplinary task that involves legal, digital and technological issues, materials engineers are on the front line of research to understand what kind of tag is preferred for each kind of object and how existing materials and 3D printing hardware should be synergistically modified to create such tag. This review provides a critical analysis of the main requirements and properties of tagging features for authentication and identification of AM parts, of the strategies that have been put in place so far, and of the future challenges that are emerging to make these systems efficient and suitable for digitalisation. It is envisaged that this literature survey will help scientists and developers answer the challenging question: “How can we embed a tagging feature in an AM part?”.

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Section: Discussion and Critical Considerationsmentioning

confidence: 99%

How Can We Provide Additively Manufactured Parts with a Fingerprint? A Review of Tagging Strategies in Additive Manufacturing

et al. 2021

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“…Material and services customization: The demand for customized products and services is anticipated to increase with comprehensive historical data, expectations of different stakeholders and evolving business dynamics of competitors. A digital twin would allow quicker and simpler solution to accommodate evolving demands in the perspective of future software defined factories [55].…”

Section: Digital Twin Methods For Constructionmentioning

confidence: 99%

Leveraging BIM and Blockchain for Digital Twins

Çelik

Petri

Rezgui

2021

2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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“…Because of their specific nature, involving interdependency and value co-creation, Industry 4.0 innovation ecosystems have emerged as a more suitable configuration for technology development and provision instead of the linear supply chain approach. As previously demonstrated by Rong et al [16], supply chains become very intricate in the Industry 4.0 context, with many players and complex interactions [17,18]. The ecosystem approach is more suitable to analyze this case.…”

Section: Literature Reviewmentioning

confidence: 96%

Global Challenges of Digital Transformation of Markets: Collaboration and Digital Assets

et al. 2021

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Cyber-physical system (CPS) and digital twin (DT) technologies are the key enablers of smart manufacturing. The main idea of CPS is to build bi-directional interaction channels between the physical and cyber worlds. The research gap is ontological consideration of the concept of the digital object (DO) as a representation of a physical object (PO) in the digital space/world. The objective of this study is an ontological analysis of the digital object (DO). This object is fairly well-understood from a technical point of view; although there are many options for its definition, its basic composition and functionality are defined clearly, but currently in the economic science DO has not yet been enough considered. The DO, which first appeared as a digital twin has not been properly explored by economic science. Authors attempt to determine whether all the properties and characteristics of the DO are described by modern economic language or whether there is a need to introduce new concepts and categories to describe such objects. The ontological analysis of the DO within the existing conceptual framework of economic science is presented. The result of the research is comprehensive study of DO which allows the consideration of the additional benefits that economic actors can gain from using the DO. We propose to analyze the DO in terms of such economic categories as goods; innovation process; the system of division of labor; the role of market participants in the creation and use of the DO; intellectual property; etc.

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A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0

Cited by 42 publications

References 17 publications

How Can We Provide Additively Manufactured Parts with a Fingerprint? A Review of Tagging Strategies in Additive Manufacturing

How Can We Provide Additively Manufactured Parts with a Fingerprint? A Review of Tagging Strategies in Additive Manufacturing

Leveraging BIM and Blockchain for Digital Twins

Global Challenges of Digital Transformation of Markets: Collaboration and Digital Assets

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