| Issue |
EPJ Web Conf.
Volume 365, 2026
BPU12 Congress – 12th General Conferences of the Balkan Physical Union
|
|
|---|---|---|
| Article Number | 06004 | |
| Number of page(s) | 12 | |
| Section | Interdisciplinary Physics, Mathematical and Computational Methods | |
| DOI | https://doi.org/10.1051/epjconf/202636506004 | |
| Published online | 15 April 2026 | |
https://doi.org/10.1051/epjconf/202636506004
Digital Twins in Mechatronics: A Symmetry-Based Approach to System Modelling and Analysis
1 University of Craiova, Mechatronics and Robotics Department, Craiova, Romania
2 University of Craiova, Mechatronics and Robotics Department, Craiova, Romania
3 University of Craiova, Mechatronics and Robotics Department, Craiova, Romania
4 University of Craiova, Engineering and Management of Technological Systems Department, Drobeta Turnu Severin, Romania
5 University of Craiova, Mechatronics and Robotics Department, Craiova, Romania
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 15 April 2026
Abstract
This paper explores the integration of symmetry principles into digital twin models for complex mechatronic systems, highlighting their potential to enhance modelling efficiency, anomaly detection, and system scalability. By leveraging structural and functional symmetries, the proposed approach supports modular system design, reduces computational overhead, and improves predictive maintenance. A comprehensive showcase is presented, featuring a modular automated production line composed of a conveyor with 90 FIFO buffer positions, multiple CNC machining centres, and two 7-axis robots controlled via Siemens Sinumerik RunMyRobot/Direct Control. The simulation framework employs a combination of Software-in-the-Loop (SiL) and Model-in-the-Loop (MiL) methodologies using a CMVM digital twin of the CNC controller, Simit for communication simulation, and Mechatronic Concept Designer (MCD) for behaviour modelling. Hierarchical physical and functional decomposition, aligned with Weiss and Qiao's methodology, is applied to facilitate the development of a Component Mapping Matrix and ensure simulation fidelity. The presented approach demonstrates how symmetry and modularity in digital twins can accelerate deployment, enhance robustness, and improve decision-making in cyber-physical manufacturing environments.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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