
Dario Lizzio
Design and Implementation of a Digital Twin for a Multi-Technology Automated System.
Rel. Luigi Mazza. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
Abstract: |
This thesis provides a general overview of the growing needs that have emerged with industrial evolution, with particular focus on Industry 4.0. One of the technologies that are being considered in modern industrial systems is the concept of the Digital Twin. Digital twins are now recognized as essential tools for the development and management of intelligent, automated systems. Their applications span a wide range of domains, including real-time monitoring, predictive maintenance, optimization of energy consumption, and rapid troubleshooting of faults, all of which contribute to enhancing overall system efficiency and reliability. The second part of the thesis is dedicated to the design and development of a digital twin for an educational-purpose automatic machine known as the Rocker. This machine was designed as an educational tool to demonstrate the fundamental principles of industrial automation and control systems. The digital twin was created using Automation Studio™, a simulation software developed by Famic Technologies Inc., which provides a complete environment for modeling, simulating, and visualizing complex mechatronic systems. The digital replica includes all functional components of the real machine, such as hydraulic and electrical circuits, as well as the control logic implemented through Sequential Function Chart (SFC). Additionally, a graphical user interface replicating the actual control panel of the machine has been integrated into the simulation, alongside a detailed 3D visualization of the system. These features allow for an immersive and realistic simulation experience, allowing users to observe the machine’s behavior under various operating conditions. In the final phase of the work, a Failure Modes and Effects Analysis (FMEA) was conducted on the developed digital twin. Prior to the analysis, the theoretical foundations of FMEA were introduced to provide a solid basis for understanding the approach. The FMEA can be used to identify potential failure modes in the system, evaluate their impact, and propose corrective actions to improve system robustness. The outcome of this thesis is a fully functional digital twin of the Rocker machine developed in Automation Studio™, that can be used as a versatile platform for educational, diagnostic, and analytical purposes. The accompanying FMEA report provides additional information about system vulnerabilities and opportunities for enhancement. This project contributes to the growing body of research and practical applications involving digital twins in the context of Industry 4.0 and industrial automation. |
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Relatori: | Luigi Mazza |
Anno accademico: | 2024/25 |
Tipo di pubblicazione: | Elettronica |
Numero di pagine: | 89 |
Informazioni aggiuntive: | Tesi secretata. Fulltext non presente |
Soggetti: | |
Corso di laurea: | Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica) |
Classe di laurea: | Nuovo ordinamento > Laurea magistrale > LM-25 - INGEGNERIA DELL'AUTOMAZIONE |
Aziende collaboratrici: | Politecnico di Torino |
URI: | http://webthesis.biblio.polito.it/id/eprint/36506 |
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