The vision of the Digital Twin itself refers to a comprehensive physical and functional description of a component, product or system, which includes more or less all information which could be useful in all—the current and subsequent—lifecycle phases. In this chapter we focus on the simulation aspects of the Digital Twin. Today, modelling and simulation is a standard process in system development, e.g. to support design tasks or to validate system properties. During operation and for service first simulation-based solutions are realized for optimized operations and failure prediction. In this sense, simulation merges the physical and virtual world in all life cycle phases. Current practice already enables the users (designer, SW/HW developers, test engineers, operators, maintenance personnel, etc) to master the complexity of mechatronic systems.
- Digital Model
- Mechatronic System
- Product Lifecycle Management
- Product Data Management
- Life Cycle Phase
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Clarification of terminology—The authors are aware, and readers should be aware, of differing views and use of terms like elements, systems, products and components.
This corresponds also to ‘system of systems’ perspectives.
Many terms are used to express this trend, e.g. Cyber-physical Systems, Internet of Things, Web of Systems, Industrial Internet.
The term cyber-physical is more popular, but brings a different understanding of how the physical basis system is associated.
“Model-based systems engineering (MBSE) is the formalized application of modelling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases” . So a core idea of MBSE is to use digital models to capture interactions of single subsystems and components at a system level. The system behaviour is tested against these models throughout the product development process.
Product lifecycle management (PLM), Product data management (PDM), Supervisory Control and Data Acquisition (SCADA).
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Boschert, S., Rosen, R. (2016). Digital Twin—The Simulation Aspect. In: Hehenberger, P., Bradley, D. (eds) Mechatronic Futures. Springer, Cham. https://doi.org/10.1007/978-3-319-32156-1_5
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