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dc.contributor.authorAziz, Shahid
dc.contributor.authorJUNG, DONG WON
dc.contributor.authorZaman, Uzair Khaleeq uz
dc.contributor.authorAqeel, Anas Bin
dc.date.accessioned2023-08-02T09:36:51Z
dc.date.available2023-08-02T09:36:51Z
dc.date.issued2024
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/74697
dc.description.abstractA digital twin is a digital replica of a living or non-living physical entity, such as a manufacturing process, medical device, piece of medical equipment, and even a person to gain insight into the present and future operational states of each physical twin." With the rapid advancement in manufacturing processes through sensors, the Internet of Things (IoT), modeling software, cloud computing, and cyber-physical integration, smart manufacturing is being adopted by almost all manufacturers. Digital twin promises the realization of smart manufacturing through the interaction and utilization of all these technological advances. Therefore, it is necessary to educate the industrialists and researchers involved in the manufacturing industry on the recent progress and directions of digital twin technology and services. In general, this work introduces the digital twin technology and presents case studies specifically for smart manufacturing from the perspective of industry 4.0. It also presents the digital twin for smart product design, biomanufacturing, and IoT with case studies. It gives its readers a guideline for future trends and an application framework for product design using digital twins.en_US
dc.languageEnglishen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologiesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineeringen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBD Technical designen_US
dc.subject.otherCAM, Computer-Aided Manufacturing, PLM, Product Lifecycle Management, CAPP, Computer-Aided Process Planningen_US
dc.titleChapter 4 Digital Twins in Smart Manufacturingen_US
dc.typechapter
oapen.identifier.doi10.1201/9781003327523-6en_US
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bben_US
oapen.relation.isPartOfBook9a1f410a-da5e-4789-9c5a-0490e8a2173een_US
oapen.relation.isFundedBy821af0e2-5ce8-4aad-9350-a16cda245d97en_US
oapen.relation.isbn9781032353210en_US
oapen.relation.isbn9781032355719en_US
oapen.imprintCRC Pressen_US
oapen.pages17en_US
peerreview.anonymitySingle-anonymised
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.review.stagePre-publication
peerreview.review.typeProposal
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleProposal review
oapen.review.commentsTaylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required).


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