Recognition and implementation of the smart manufacturing systems in industrial sectors for evolving industry 4.0

The digital twin is referred to as a virtual representation of the physical object and its representation of real-world objects in a virtual manner. The recognition of the digital twin is obtained from real-time data with artificial intelligence techniques. Virtual reality is a three-dimensional env...

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Published inMeasurement. Sensors Vol. 31; p. 100987
Main Authors Kler, Rajnish, Ashish, Nimmagadda, Padmaja, Navarajan, J., Chauhan, Deepak, Babu, Gadde Raghu
Format Journal Article
LanguageEnglish
Published Elsevier 01.02.2024
Subjects
Artificial intelligence
Augmented reality
Digital twin
Smart manufacturing
Virtual reality
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Abstract The digital twin is referred to as a virtual representation of the physical object and its representation of real-world objects in a virtual manner. The recognition of the digital twin is obtained from real-time data with artificial intelligence techniques. Virtual reality is a three-dimensional environment that enables the users to utilize and explore the virtual environment and is achieved through the combination of hardware and software systems. Augmented reality is enabled in the form of text, audio, and video format representations. It only gets in touch with a combination of the physical and the real world whereas virtual reality proceeds in a frictional world. The increasing usage of smart manufacturing systems using digital twin is providing versatile usages. This incorporates physical and virtual environments and is enabled with the obtained data that helps in the modification of the physical counterpart. Incorporating huge amounts is a bigger challenge, therefore augmented and virtual reality is implemented that helps the users to utilize digital data with higher interest through augmented reality.
AbstractList The digital twin is referred to as a virtual representation of the physical object and its representation of real-world objects in a virtual manner. The recognition of the digital twin is obtained from real-time data with artificial intelligence techniques. Virtual reality is a three-dimensional environment that enables the users to utilize and explore the virtual environment and is achieved through the combination of hardware and software systems. Augmented reality is enabled in the form of text, audio, and video format representations. It only gets in touch with a combination of the physical and the real world whereas virtual reality proceeds in a frictional world. The increasing usage of smart manufacturing systems using digital twin is providing versatile usages. This incorporates physical and virtual environments and is enabled with the obtained data that helps in the modification of the physical counterpart. Incorporating huge amounts is a bigger challenge, therefore augmented and virtual reality is implemented that helps the users to utilize digital data with higher interest through augmented reality.
ArticleNumber 100987
Author Navarajan, J.
Ashish
Chauhan, Deepak
Kler, Rajnish
Babu, Gadde Raghu
Nimmagadda, Padmaja
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10.1109/ACCESS.2020.3000437
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References Mu (10.1016/j.measen.2023.100987_bib2) 2023; 67
Kharchenko (10.1016/j.measen.2023.100987_bib18) 2020
Balamurugan (10.1016/j.measen.2023.100987_bib5) 2022
Künz (10.1016/j.measen.2023.100987_bib6) 2022
Halenar (10.1016/j.measen.2023.100987_bib10) 2019
Riedel (10.1016/j.measen.2023.100987_bib11) 2022
Zhen (10.1016/j.measen.2023.100987_bib14) 2021
Kaarlela (10.1016/j.measen.2023.100987_bib17) 2020
Garikapati (10.1016/j.measen.2023.100987_bib9) 2022; 17
Catarci (10.1016/j.measen.2023.100987_bib3) 2019
Li (10.1016/j.measen.2023.100987_bib15) 2020
Leskovský (10.1016/j.measen.2023.100987_bib20) 2020
Sneha (10.1016/j.measen.2023.100987_bib16) 2023
Caiza (10.1016/j.measen.2023.100987_bib12) 2022
Moyne (10.1016/j.measen.2023.100987_bib7) 2020; 8
Shao (10.1016/j.measen.2023.100987_bib1) 2019
Guo (10.1016/j.measen.2023.100987_bib19) 2020
Sneha (10.1016/j.measen.2023.100987_bib13) 2022
Moyne (10.1016/j.measen.2023.100987_bib8) 2020; 8
References_xml – year: 2022
  ident: 10.1016/j.measen.2023.100987_bib11
  article-title: Data-driven digital twins in surgery utilizing augmented reality and machine learning
– year: 2021
  ident: 10.1016/j.measen.2023.100987_bib14
  article-title: Augmented-reality-assisted bearing fault diagnosis in intelligent manufacturing workshop using deep transfer learning
– year: 2020
  ident: 10.1016/j.measen.2023.100987_bib17
  article-title: Digital twin and virtual reality for safety training
– volume: 67
  start-page: 174
  year: 2023
  ident: 10.1016/j.measen.2023.100987_bib2
  article-title: Toward a smart wire arc additive manufacturing system: a review on current developments and a framework of the digital twin
  publication-title: J. Manuf. Syst.
  doi: 10.1016/j.jmsy.2023.01.012
– year: 2020
  ident: 10.1016/j.measen.2023.100987_bib18
  article-title: Combination of digital twin and artificial intelligence in manufacturing using industrial IoT
– volume: 8
  start-page: 107781
  year: 2020
  ident: 10.1016/j.measen.2023.100987_bib8
  article-title: A requirements-driven digital twin framework: specification and opportunities
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3000437
– year: 2020
  ident: 10.1016/j.measen.2023.100987_bib15
  article-title: Digital twin technology in intelligent manufacturing
– volume: 17
  start-page: 412
  issue: 4
  year: 2022
  ident: 10.1016/j.measen.2023.100987_bib9
  article-title: K-means partitioning approach to predict the error observations in small datasets
  publication-title: Int. J. Comput. Aided Eng. Technol.
  doi: 10.1504/IJCAET.2022.126601
– year: 2022
  ident: 10.1016/j.measen.2023.100987_bib6
  article-title: The potential of augmented reality for digital twins: a literature review
– year: 2019
  ident: 10.1016/j.measen.2023.100987_bib1
  article-title: Digital twin for smart manufacturing: the simulation aspect
– year: 2022
  ident: 10.1016/j.measen.2023.100987_bib12
  article-title: Digital twin for monitoring an industrial process using augmented reality
– start-page: 453
  year: 2023
  ident: 10.1016/j.measen.2023.100987_bib16
  article-title: Investigation on wear characteristics of a PLA-14% bronze composite filament
– year: 2020
  ident: 10.1016/j.measen.2023.100987_bib19
  article-title: A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0
– year: 2020
  ident: 10.1016/j.measen.2023.100987_bib20
  article-title: Proposal of digital twin platform based on 3D rendering and IIoT principles using virtual/augmented reality
– start-page: 75
  year: 2022
  ident: 10.1016/j.measen.2023.100987_bib5
  article-title: Wearables to improve efficiency, productivity, and safety of operations
– year: 2019
  ident: 10.1016/j.measen.2023.100987_bib3
  article-title: A conceptual architecture and model for smart manufacturing relying on service-based digital twins
– start-page: 1
  year: 2022
  ident: 10.1016/j.measen.2023.100987_bib13
  article-title: Micro-drilling optimization study using RSM on PLA-bronze composite filament printed using FDM
– volume: 8
  start-page: 107781
  year: 2020
  ident: 10.1016/j.measen.2023.100987_bib7
  article-title: A requirements-driven digital twin framework: specification and opportunities
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3000437
– year: 2019
  ident: 10.1016/j.measen.2023.100987_bib10
  article-title: Virtualization of production using digital twin technology
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StartPage 100987
SubjectTerms Artificial intelligence
Augmented reality
Digital twin
Smart manufacturing
Virtual reality
Title Recognition and implementation of the smart manufacturing systems in industrial sectors for evolving industry 4.0
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Volume 31
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