An Approach of Development Digital Twin Based on CMM as Support Industry 4.0

  • 1 University of Belgrade, Faculty of Mechanical Engineering, Production Engineering Department, Belgrade, Serbia
  • 2 Military Technical Institute, Coordinate Metrology Lab, Belgrade, Serbia


The digital twin (DT) based on CMM as support Industry 4.0, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). DT based on CMM has an extremely expressed requirement for digitalization, control, and monitoring of the measurement processes inside Industry 4.0 concept. This paper presents an approach of development DT as one direction information flow based on four levels: (i) mathematical model of the measuring sensor path; (ii) tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as Ants Colony Optimization (ACO) and Genetic lgorithm (GA) to optimize the measurement path, part number of part setup and configuration of the measuring probes; (iv) simulation of measurement path. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the example of prismatic part.



  1. Grieves, M., 2015. Digital Twin: Manufacturing Excellence through Virtual Factory Replication This paper introduces the concept of a A Whitepaper by Dr . Michael Grieves. White Paper URL:{_}Dr{_}Grieves{_} DigitalTwin{_}ManufacturingExcellence.php
  2. Grieves, M., 2004. Digital Twin - Manufacturing Excellence through Virtual Factory Replication, Whitepaper, LLC.
  3. Shafto, M., Rich, M.C., Glaessgen, D.E., Kemp, C., Lemoigne, J., Wang, L., 2010. DRAFT MoDeling, SiMulATion, inFoRMATion Technology & PRoceSSing RoADMAP Technology Area 11. Technical Report.
  4. Schroeder, G.N., Steinmetz, C., Pereira, C.E., Espindola, D.B., 2016. Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange. IFAC-PapersOnLine 49, 12–17. doi:10.1016/j.ifacol.2016.11.115.
  5. Abramovic i, M., G¨obel, J.C., Dang, H.B., 2016. Semantic data management for the development and continuous reconfiguration of smart products and systems. CIRP Annals - Manufacturing Technology 65, 185–188. doi:10.1016/j.cirp.2016.04.051.
  6. Rosen, R., Von Wichert, G., Lo, G., Bettenhausen, K.D., 2015. About the importance of autonomy and digital twins for the future of manufacturing, in: IFAC-PapersOnLine, pp. 567–572. doi:10.1016/j.ifacol.2015.06.141.
  7. Gabor, T., Belzner, L., Kiermeier, M., Beck, M.T., Neitz, A., 2016. A simulation-based architecture for smart cyber-physical systems, in: 2016 IEEE International Conference on Autonomic Computing (ICAC), IEEE. pp. 374–379.
  8. Chief Assistant Prof. PhD. Mateev M., 2019. Industry 4.0 and the Digital Twin for building industry. Conference: Industry 4.0, URL:
  9. Angira Sharma, Edward Kosasih, Jie Zhang, Alexandra Brintrup, Anisoara Calinescu, 2020. Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions, URL:
  10. Kendrik Yan Hong Lim, Pai Zheng, Chun-Hsien Chen, 2019. A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives, URL: w
  11. Stojadinovic, S.; Majstorovic, V. An Intelligent Inspection Planning System for Prismatic Parts on CMMs. Springer International Publishing Switzerland, 2019.
  12. Protégé, (Accessed, 15 April 2022)
  13. Stojadinovic, S.; Majstorovic, V.; Durakbasa, N.; Sibalija, T. Ants Colony Optimization of the Measuring Path of Prismatic Parts on a CMM. Metrol. and Meas. Syst. 2016, 23 (1), 119- 132.
  14. Stojadinovic, S.; Majstorovic, V.; Durakbasa, N. Towards a cyber-physical manufacturing metrology model for industry 4.0. Artif. Intell. for Eng. Design Analisis and Manuf. 2020. 35 (1), 20-36.
  15. Stojadinovic, S.; Majstorovic, V.; Durakbasa, N. Contribution to the development of a digital twin based on CMM to support the inspection process, Measurement: Senzors, 2022 (in press)

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