Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
A systems engineering based methodology for digital twins implementation
Submission Author:
Jones Yudi Mori Alves da Silva , DF , Brazil
Co-Authors:
Yasmin Gaudard, Andrea Cristina Santos, Jones Yudi Mori Alves da Silva
Presenter: Yasmin Gaudard
doi://10.26678/ABCM.COBEM2023.COB2023-1226
Abstract
Historically, the Industrial Revolutions emerged supported by technologies that increased efficiency and reduced costs. The Industry 4.0 movement, acclaimed by many as the 4th Industrial Revolution, is supported by a set of Enabling Technologies, such as Big Data, Robotics, Artificial Intelligence, Cloud Computing, Additive Manufacturing, Internet of Things, Virtual and Augmented Reality, among others. When associating these technologies, there is a convergence to the Cyber-Physical Systems concept, and one of its implementations is the Digital Twin (DT). A DT is commonly defined as a virtual representation of a physical object or process, allowing ultra-realistic simulations of physical models, capturing historical data, and real-time processing/monitoring. Different levels of abstraction and detail offer varied views of industrial systems, equipment, processes, and products. Given its complexity and multi-technological composition, its implementation is quite tricky. In this context, we propose using a methodology based on Model-Based Systems Engineering (MBSE) to support a model industry’s technological evolution, aiming to implement its DT. Our model industry is an innovation laboratory constituted of several sectors: Management, Design Office, Manufacturing (several processes), Stock, and Maintenance, among others. In this work, we focus on the area of Additive Manufacturing for external customers (private companies) and internal ones (academic projects), providing the modelling of the optimal path from the arrival of a work order to 3D printing and final delivery of parts. Using the Reference Architecture Model for Industry 4.0 (RAMI-4.0), we modelled the system at several levels with the MBSE Arcadia method through the free tool Capella. As a result, we reached the Final System Architecture, indicating the actors involved in the scenario, their functionalities and the interaction flow between all the components. This model allows the simulation and analysis in a single framework considering the complete system and not only isolated subsystems. It provides us with correlations among indicators of different abstraction levels, generating the basis for implementing a multi-scope DT. We can highlight that MBSE systems, even supported by formal methods of Systems Engineering, still cannot be considered mature enough. Consequently, its tools constantly evolve, and new applications favour its consolidation. Therefore, the principles used to construct this work result in an innovative methodology by allying MBSE’s tooling support to the efficient implementation of Digital Twins.
Keywords
Arcadia, Digital Twin, industry 4.0, MBSE
