Cited by 219Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsManufacturing Process and Optimization

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Modeling of Cloud-Based Digital Twins for Smart Manufacturing with MT Connect

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Hu, Liwen, Nguyen, Ngoc-Tu, Tao, Wenjin, Leu, Ming C., Liu, Xiaoqing Frank, Shahriar, Md Rakib, Al Sunny, S M Nahian·2018·Procedia Manufacturing

DOI 10.1016/j.promfg.2018.07.155

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Abstract

The common modeling of digital twins uses an information model to describe the physical machines. The integration of digital twins into productive cyber-physical cloud manufacturing (CPCM) systems imposes strong demands such as reducing overhead and saving resources. In this paper, we develop and investigate a new method for building cloud-based digital twins (CBDT), which can be adapted to the CPCM platform. Our method helps reduce computing resources in the information processing center for efficient interactions between human users and physical machines. We introduce a knowledge resource center (KRC) built on a cloud server for information intensive applications. An information model for one type of 3D printers is designed and integrated into the core of the KRC as a shared resource. Several experiments are conducted and the results show that the CBDT has an excellent performance compared to existing methods.

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Retracted
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Authors: Hu, L., Nguyen, N.-T., Tao, W., Leu, M. C., Liu, X. F., Shahriar, M. R., & Al Sunny, S. M. N.
Affiliations: Missouri University of Science and Technology (US)
University of Arkansas at Fayetteville (US)
Corresponding author: Tao, Wenjin
ORCID: Tao, Wenjin
Leu, Ming C.
Liu, Xiaoqing Frank
Shahriar, Md Rakib
Venue: Procedia Manufacturing
Publisher: Elsevier BV
Published: 2018
Volume: 26
Pages: 1193-1203
ISSN: 2351-9789 (ISSN-L)
DOI: 10.1016/j.promfg.2018.07.155
OpenAlex: W2886143408
Cited by: 219
References: 20
Citations by year: 2026: 4 · 2025: 14 · 2024: 22 · 2023: 37 · 2022: 53 · 2021: 56 · 2020: 17 · 2019: 15 · 2018: 1
FWCI: 18.39
Type: journal article
Language: en
Open access: diamond
doi.org
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 192 d)
Locations: Procedia Manufacturing (publishedVersion, cc-by-nc-nd)
Journal of the Arkansas Academy of Science (submittedVersion, cc-by-nc-nd)
Funders: National Science Foundation (1551448)
Division of Civil, Mechanical and Manufacturing Innovation
Topics: Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
Keywords: smart manufacturing, information model, 3D printer, resource efficiency, human-machine interaction, cloud computing

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Modeling of Cloud-Based Digital Twins for Smart Manufacturing with MT Connect

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