Graphene nanoparticles as data generating digital materials in industry 4.0

One of the potential applications of 2D materials is to enhance multi-functionality of structures and components used in aerospace, automotive, civil and defense industries. These multi-functional attributes include sensing, energy storage, EMI shielding and property enhancement. In this article, we...

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Bibliographic Details
Published inScientific reports Vol. 13; no. 1; pp. 4945 - 15
Main Authors Ali, Muhammad A., Irfan, Muhammad S., Khan, Tayyab, Khalid, Muhammad Y., Umer, Rehan
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 27.03.2023
Nature Publishing Group
Nature Portfolio
Subjects
639/166
639/301
639/925
Artificial intelligence
Energy storage
Graphene
Humanities and Social Sciences
Manufacturing industry
multidisciplinary
Nanoparticles
Science
Science (multidisciplinary)
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Summary:One of the potential applications of 2D materials is to enhance multi-functionality of structures and components used in aerospace, automotive, civil and defense industries. These multi-functional attributes include sensing, energy storage, EMI shielding and property enhancement. In this article, we have explored the potential of using graphene and its variants as data generating sensory elements in Industry 4.0. We have presented a complete roadmap to cover three emerging technologies i.e. advance materials, artificial intelligence and block-chain technology. The utility of 2D materials such as graphene nanoparticles is yet to be explored as an interface for digitalization of a modern smart factory i.e. “factory-of-the-future”. In this article, we have explored how 2D material enhanced composites can act as an interface between physical and cyber spaces. An overview of employing graphene-based smart embedded sensors at various stages of composites manufacturing processes and their application in real-time structural health monitoring is presented. The technical challenges associated with interfacing graphene-based sensing networks with digital space are discussed. Additionally, an overview of the integration of associated tools such as artificial intelligence, machine learning and block-chain technology with graphene-based devices and structures is also presented.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-31672-y