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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043272/ https://www.ncbi.nlm.nih.gov/pubmed/36973318 http://dx.doi.org/10.1038/s41598-023-31672-y |
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author | Ali, Muhammad A. Irfan, Muhammad S. Khan, Tayyab Khalid, Muhammad Y. Umer, Rehan |
author_facet | Ali, Muhammad A. Irfan, Muhammad S. Khan, Tayyab Khalid, Muhammad Y. Umer, Rehan |
author_sort | Ali, Muhammad A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10043272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100432722023-03-29 Graphene nanoparticles as data generating digital materials in industry 4.0 Ali, Muhammad A. Irfan, Muhammad S. Khan, Tayyab Khalid, Muhammad Y. Umer, Rehan Sci Rep Article 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. Nature Publishing Group UK 2023-03-27 /pmc/articles/PMC10043272/ /pubmed/36973318 http://dx.doi.org/10.1038/s41598-023-31672-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ali, Muhammad A. Irfan, Muhammad S. Khan, Tayyab Khalid, Muhammad Y. Umer, Rehan Graphene nanoparticles as data generating digital materials in industry 4.0 |
title | Graphene nanoparticles as data generating digital materials in industry 4.0 |
title_full | Graphene nanoparticles as data generating digital materials in industry 4.0 |
title_fullStr | Graphene nanoparticles as data generating digital materials in industry 4.0 |
title_full_unstemmed | Graphene nanoparticles as data generating digital materials in industry 4.0 |
title_short | Graphene nanoparticles as data generating digital materials in industry 4.0 |
title_sort | graphene nanoparticles as data generating digital materials in industry 4.0 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043272/ https://www.ncbi.nlm.nih.gov/pubmed/36973318 http://dx.doi.org/10.1038/s41598-023-31672-y |
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