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Digital Twins in Manufacturing

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Abstract

The concept of a digital twin is analyzed. It is shown that digital twins may be used in monitoring the manufacturing process. The digital twin of a technological process is defined. A design method is proposed for such digital twins. An approach to describing a multifunctional production process is outlined. An algorithm is proposed for the monitoring of manufacturing processes on the basis of digital twins.

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REFERENCES

  1. Zheng, P., Wang, H., Sang, Z., et al., Smart manufacturing systems for Industry 4.0: conceptual framework, scenarios, and future perspectives, Front. Mech. Eng., 2018, vol. 13, no. 2, pp. 137–150.

    Article  Google Scholar 

  2. Thoben, K.D., Wiesner, S.A., and Wuest, T., “Industrie 4.0” and smart manufacturing-a review of research issues and application examples, Int. J. Autom. Technol., 2017, vol. 11, no. 1, pp. 4–16.

    Article  Google Scholar 

  3. Khan, A. and Turowski, K., A survey of current challenges in manufacturing industry and preparation for industry 4.0, Proc. First Int. Sci. Conf. “Intelligent Information Technologies for Industry” (IITI’16), New York: Springer-Verlag, 2016, vol. 450, pp. 15–26.

  4. Kholopov, V.A., Kashirskaya, E.N., Kushnir, A.P., et al., Development of digital machine-building production in the Industry 4.0 concept, J. Mach. Manuf. Reliab., 2018, vol. 47, no. 4, pp. 380–385. https://doi.org/10.3103/S1052618818040064

    Article  Google Scholar 

  5. Cheng, Y., Zhang, Y., Ji, P., et al., Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey, Int. J. Adv. Manuf. Technol., 2018, vol. 97, nos. 1–4, pp. 1209–1221.

    Article  Google Scholar 

  6. Zhang, Q., Zhang, X., Xu, W., et al., Modeling of digital twin workshop based on perception data, Proc. Int. Conf. on Intelligent Robotics and Applications, New York: Springer-Verlag, 2017, vol. 8103, pp. 3–14.

  7. Budnikova, A.A. and Kondrat’ev, V.Yu., Digital twins, Materialy XI mezhdunarodnogo studencheskogo foruma “Informatsionnoe obshchestvo: sovremennoe sostoyanie i perspektivy razvitiya” (Proc. XI Int. Student’s Forum “Modern State and Prospective Development of Informational Society”), Krasnodar: Kuban. Gos. Agrar. Univ., 2018, pp. 132–136.

  8. Chinesta, F., Cueto, E., Abisset-Chavanne, E., et al., Virtual, digital and hybrid twins: a new paradigm in data-based engineering and engineered data, Arch. Comput. Methods Eng., 2018, vol. 4, pp. 1–30.

    Google Scholar 

  9. Durao, L., Haag, S., Anderl, R., et al., Digital twin requirements in the context of Industry 4.0, Proc. IFIP Int. Conf. on Product Lifecycle Management, New York: Springer-Verlag, 2018, vol. 540, pp. 204–214.

  10. Stepynin, S.S., Digital twin as a tool for industry, Materialy XLIV Mezhdunarodnoi molodezhnoi nauchnoi konferentsii “Gagarinskie chteniya–2018,” Tezisy dokladov (Proc. XLIV Int. Youth Sci. Conf. “Gagarin’s Readings–2018,” Abstracts of Papers), Moscow: Mosk. Aviats. Inst., 2018, pp. 245–246.

  11. Dem’yanova, O.V. and Dimmieva, A.R., Life cycle and possibilities of digital transformation of the company, in Sovremennye problemy upravleniya i regulirovaniya: Monografiya (Modern Problems of Management and Regulation: Monograph), Penza: Nauka i Prosveshchenie, 2018, pp. 108–119.

  12. Komrakov, A.V. and Sukhorukov, A.I., A concept of digital twin in control of life cycle of industrial objects, Nauchn.Ideya, 2017, vol. 3, no. 3, pp. 3–9.

    Google Scholar 

  13. Tao, F., Cheng, J., Qi, Q., et al., Digital twin-driven product design, manufacturing and service with big data, Int. J. Adv. Manuf. Technol., 2018, vol. 94, nos. 9–12, pp. 3563–3576.

    Article  Google Scholar 

  14. Romashkova, I.A. and Losaberidze, T.L., Implementation of the concept of “digital twin” in Russian industry as the transitional stage to the fourth industrial revolution, Postulat, 2018, vol. 31, no. 5-1, pp. 139–144.

  15. Biktimirov, V.R. and Rashchupkina, A.A., Modern methods for quality control. Digital twin, Sovrem. Nauchn. Issled. Razrab., 2018, vol. 25, no. 8, pp. 34–36.

    Google Scholar 

  16. Leng, J., Zhang, H., Yan, D., et al., Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop, J. Ambient Intell. Hum. Comput., 2018, vol. 10, no. 3, pp. 1–12.

    Google Scholar 

  17. Guo, J., Zhao, N., Sun, L., and Zhang, S., Modular based flexible digital twin for factory design, J. Ambient Intell. Hum. Comput., 2018, vol. 10, no. 3, pp. 1–12.

    Google Scholar 

  18. Zarubin, S.G. and Deev, K.A., Process model of digital manufacturing, Russ. Eng. Res., 2017, vol. 37, no. 8, pp. 714–719.

    Article  Google Scholar 

  19. Pronina, E.V., Digital twin in modern industry, Materialy XXXV Mezhdunarodnoi nauchno-prakticheskoi konferentsii “Scientific prospectives” (Proc. XXXV Int. Sci.-Pract. Conf. “Scientific Prospectives”), Astrakhan: Olimp, 2017, pp. 58–60.

  20. Tarasov, I.V. and Popov, N.A., Industry 4.0: transformation of production plants, Strategicheskie Resheniya Risk-Menedzhment, 2018, vol. 106, no. 3, pp. 38–53.

    Google Scholar 

  21. Kholopov, V.A., Kashirskaya, E.N., and Gusev, M.V., Optimization of configuration of industrial Ethernet networks during design of the automated production management system, Ross. Tekhnol. Zh., 2018, vol. 6, no. 2 (22), pp. 20–31.

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Funding

Financial support was provided by MIREA—Russian Technological University as part of the ITsMR-12 research initiative regarding information-based control systems for the assembly of complex products.

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Authors and Affiliations

  1. MIREA—Russian Technological University, Moscow, Russia

    V. A. Kholopov, S. V. Antonov, E. V. Kurnasov & E. N. Kashirskaya

Authors
  1. V. A. Kholopov
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  2. S. V. Antonov
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  3. E. V. Kurnasov
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  4. E. N. Kashirskaya
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Corresponding authors

Correspondence to V. A. Kholopov or S. V. Antonov.

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Translated by B. Gilbert

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Kholopov, V.A., Antonov, S.V., Kurnasov, E.V. et al. Digital Twins in Manufacturing. Russ. Engin. Res. 39, 1014–1020 (2019). https://doi.org/10.3103/S1068798X19120104

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  • DOI: https://doi.org/10.3103/S1068798X19120104

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