Cited by 127Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsSimulation and Modeling Applications

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Digital Twin: Applying emulation for machine reconditioning

Open access
Ayani, M., Ganebäck, M., Ng, Amos H.C.·2018·Procedia CIRP

Abstract

Old machine reconditioning projects extend the life length of machines with reduced investments, however they frequently involve complex challenges. Due to the lack of technical documentation and the fact that the machines are running in production, they can require a reverse engineering phase and extremely short commissioning times. Recently, emulation software has become a key tool to create Digital Twins and carry out virtual commissioning of new manufacturing systems, reducing the commissioning time and increasing its final quality. This paper presents an industrial application study in which an emulation model is used to support a reconditioning project and where the benefits gained in the working process are highlighted.

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Fig. 1 Inclusion of use of Virtual Commissioning in industrial automated solutions.
Fig. 1 Inclusion of use of Virtual Commissioning in industrial automated solutions.CC-BY-NC-ND · From the PDF
Fig. 2 Life cycle of an automated system and typical use of emulation.
Fig. 2 Life cycle of an automated system and typical use of emulation.CC-BY-NC-ND · From the PDF
Fig. 3 Methodology, including different phases and their steps.
Fig. 3 Methodology, including different phases and their steps.CC-BY-NC-ND · From the PDF
Fig. 4 Geometric and kinematic model of a pneumatic cylinder.
Fig. 4 Geometric and kinematic model of a pneumatic cylinder.CC-BY-NC-ND · From the PDF
Image 5
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Image 6
CC-BY-NC-ND · From the PDF
Fig. 7 Complete emulation model of the core making machine.
Fig. 7 Complete emulation model of the core making machine.CC-BY-NC-ND · From the PDF

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References 11 · Cited by 127

Research works printed but not linked: 7

  1. Lins, 2017, A novel methodology for retrofitting CNC machines based on the context of industry 4.0, 2017 IEEE International Systems Engineering Symposium (ISSE), 1
  2. Stock, 2016, Opportunities of Sustainable Manufacturing in Industry 4.0, Procedia CIRP,, 40, 2016, 10.1016/j.procir.2016.01.129 · DOI
  3. Mathias, 2014, Automatic Model Generation for Virtual Commissioning based on Plant Engineering Data, IFAC Proceedings Volumes,, 47, 2014, 10.3182/20140824-6-ZA-1003.01512 · DOI
  4. Z. Liu, N. Suchold, C. Diedrich, Virtual Commissioning of Automated Systems, 2012. · DOI
  5. McGregor, 2002, The relationship between simulation and emulation, Proceedings of the Winter Simulation Conference, 1682, 1683, 10.1109/WSC.2002.1166451 · DOI
  6. Oppelt, 2014, Integrated virtual commissioning an essential activity in the automation engineering process: From virtual commissioning to simulation supported engineering, IECON Proceedings (Industrial Electronics Conference), Institute of Electrical and Electronics Engineers Inc., 2564
  7. Lee, 2014, Survey on the virtual commissioning of manufacturing systems, Journal of Computational Design and Engineering,, 1, 2014, 10.7315/JCDE.2014.021 · DOI

Metadata

Authors
Ayani, M., Ganebäck, M., & Ng, A. H. C.
Affiliations
University of Skövde (SE)
Corresponding author
Ayani, M.
Venue
Procedia CIRP
Publisher
Elsevier BV
Published
2018
Volume
72
Pages
243-248
ISSN
2212-8271 (ISSN-L)
OpenAlex
W2810441060
Cited by
127
References
11
Citations by year
2026: 6 · 2025: 10 · 2024: 18 · 2023: 23 · 2022: 21 · 2021: 18 · 2020: 18 · 2019: 12
FWCI
9.95
Type
journal article
Language
en
Open access
Locations
  • Procedia CIRP (publishedVersion, cc-by-nc-nd)
  • University Library of Skövde (University of Skövde) (submittedVersion, other-oa)
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 › Control and Systems Engineering › Simulation and Modeling Applications
Keywords
digital twin, virtual commissioning, reverse engineering, technical documentation

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CoChat. (2026). Citation check: Digital Twin: Applying emulation for machine reconditioning. https://app.cochat.ai/papers/10.1016/j.procir.2018.03.139
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Ayani, M., Ganebäck, M., & Ng, A. H. C. (2018). Digital Twin: Applying emulation for machine reconditioning. Procedia CIRP. https://doi.org/10.1016/j.procir.2018.03.139