The DOI matches its Crossref record; 11 of the 12 references it cites were found in a registry or an index.
Mechatronic Concept of Heavy Machine Tools
Open accessAbstract
Frequently discussed topic related to the modern trend of Industry 4.0 is the issue of virtual commissioning.This paper focuses on the development of a virtual model (the so-called digital twin) of a real heavy machine tool.In the field of heavy machine tools, this topic is completely new.The paper contains a general description of this issue and the short review of the works dealing with this topic.The development of the virtual model is realized in the Siemens NX environment using the Sinumerik 840D control system.The digital twin is used to test machine parameters.This work is an introductory step for the implementation of the virtual commissioning methodology in the development of heavy machine tools.
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Digital twins monitor a machine tool.
“monitoring a machine tool [30,31]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [30]
The Introduction and section 3 describe a digital twin of a heavy machine tool, so the paper supports that connection. The paper describes using the twin to test machine parameters and for virtual commissioning, however, not to monitor the operating machine; the Conclusion says measurements on the real machine and comparison with the model are future work. (LLM, conf=0.80)
Experimental — accuracy not yet measuredIn most reviewed cases, DT are developed on a single scope level.
“but in most of the cases DT are usually developed on a single scope level, i.e. [24,30,31].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [30]
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Cites
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Zhong, R. Y., Xu, X. W., Klotz, E., & Newman, S. T. (2017) · Engineering · doi:10.1016/j.eng.2017.05.015 · Cited by 3,045
Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal
Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1308576 · Cited by 2,036
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474 · cited 1×
“But it is clear that digital twin is very important for the future of manufacturing [5].”
A Complex View of Industry 4.0
Roblek, V., Meško, M., & Krapež, A. (2016) · Sage Open · doi:10.1177/2158244016653987 · Cited by 926
Digital twin for CNC machine tool: modeling and using strategy
Luo, W., Hu, T., Zhang, C., & Wei, Y. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-0946-5 · Cited by 350
Konstantinov, S., Ahmad, M., Ananthanarayan, K., & Harrison, R. (2017) · Procedia CIRP · doi:10.1016/j.procir.2017.02.035 · Cited by 39
Mechatronic Design for an Extrusion-Based Additive Manufacturing Machine
Giberti, H., Sbaglia, L., & Silvestri, M. (2017) · Machines · doi:10.3390/machines5040029 · Cited by 30
Knowledge sharing for mechatronic systems design and optimization
Mcharek, M., Azib, T., Hammadi, M., Choley, J., & Larouci, C. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.338 · Cited by 28
New High-Speed Machine Tool Structure by Holistic Mechatronic Systems Design
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Temporal Logic (TL)-Based Autonomy for Smart Manufacturing Systems
Bank, H. S., D'souza, S., & Rasam, A. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.07.159 · Cited by 9
Virtual Prototyping and Optimization of Heavy Machine Tools
Janda, P., & Polák, R. (2016) · Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium · doi:10.2507/26th.daaam.proceedings.136 · Cited by 6
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Review of digital twin applications in manufacturing
Cimino, C., Negri, E., & Fumagalli, L. (2019) · Computers in Industry · doi:10.1016/j.compind.2019.103130 · Cited by 874
A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins
Dalibor, M., Jansen, N., Rumpe⋆, B., Schmalzing, D., Wachtmeister, L., Wimmer, M., & Wortmann, A. (2022) · Journal of Systems and Software · doi:10.1016/j.jss.2022.111361 · Cited by 147
Overview of Emerging Technologies for Improving the Performance of Heavy-Duty Construction Machines
Khan, A. U., Huang, L., Onstein, E., & Liu, Y. (2022) · IEEE Access · doi:10.1109/access.2022.3209818 · Cited by 43
Implementation of Digital Twin-based Virtual Commissioning in Machine Tool Manufacturing
Ugarte, M., Etxeberria, L., Unamuno, G., Bellanco, J. L., & Ugalde, E. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.01.250 · Cited by 43
Gasiyarov, V. R., Bovshik, P. A., Loginov, B. M., Karandaev, A. S., Khramshin, V. R., & Radionov, A. A. (2023) · Machines · doi:10.3390/machines11020276 · Cited by 32
Design and development of Automation Equipment based on Digital Twins and Virtual Commissioning
Hansen, J. P. D. O., da Silva, E. R., Bilberg, A., & Bro, C. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.11.196 · Cited by 29
Implementation of a holistic digital twin solution for design prototyping and virtual commissioning
Ugarte, M., Illarramendi, M., Unamuno, G., Bellanco, J. L., Ugalde, E., & Valor, A. V. (2022) · IET Collaborative Intelligent Manufacturing · doi:10.1049/cim2.12058 · Cited by 18
Implementation of The Digital Twin Methodology
Janda, P., Hajicek, Z., & Bernardin, P. (2019) · Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium · doi:10.2507/30th.daaam.proceedings.072 · Cited by 16
Self-citationA digital twin-driven in-process monitoring system for the ultrasonic vibration-assisted milling
Zhang, X., Shi, T., Huang, X., & Yu, T. (2025) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2025.103168 · Cited by 12
Xu, H., Wu, D., Zheng, Y., Yu, H., Yu, Q., & Zou, K. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13736-z · Cited by 2
Bernardin, P., Hajicek, Z., Janda, P., Kozak, J., Sedláček, F., Lašová, V., & Kubicek, J. (2025) · Applied Sciences · doi:10.3390/app15063312 · Cited by 1
Self-citationHybrid Quill Shaft for a Multifunctional Portal Machine Tool Centre
Sedláček, F., Bernardin, P., Kozak, J., Lašová, V., Janda, P., & Kubicek, J. (2026) · Applied Sciences · doi:10.3390/app16041816 · Cited by 1
Self-citationTrabesinger, S., Pichler, R., Pichler, M., Payerl, F., Lenz, C., Höffernig, M., & Ettinger, A. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.04.075 · Cited by 1
Metadata
- Authors
- Janda, P.
- Corresponding author
- Janda, Petr
- ORCID
- Janda, Petr
- Venue
- DAAAM Proceedings
- Publisher
- DAAAM International Vienna
- Published
- 2018
- Pages
- 0645-0652
- ISSN
- 1726-9679 (ISSN-L)
- OpenAlex
- W2903938668
- Cited by
- 13
- References
- 12
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 1 · 2020: 1 · 2019: 2
- FWCI
- 2.29
- Type
- book chapter
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium (publishedVersion)
- Digital Library (University of West Bohemia) (submittedVersion)
- 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 › Engineering Technology and Methodologies
- Keywords
- heavy machine tools, digital twin, virtual commissioning, mechatronics, Siemens NX, SINUMERIK 840D, Industry 4.0
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