What is the digital twin?
The Digital Twin is a virtual representation of a product or process, used to understand and predict the performance characteristics of its physical counterpart. Digital Twins are used throughout the product lifecycle to simulate, predict and optimise the product and manufacturing system, before actually investing in physical prototypes and assets.
Incorporating multiphysics simulation, data analytics and machine learning capabilities, the Digital Twins allow you to demonstrate the impact of design changes, usage scenarios, environmental conditions and an infinite number of other variables. This eliminates the need for physical prototypes, reducing development times and improving the quality of the final product or process.
To ensure that there is accurate modelling across the entire lifecycle of a product or its manufacturing, digital twins use data from sensors that are installed in physical objects to determine the real-time performance, operating conditions and changes over time of those objects. It is thanks to this data that the Digital Twin continuously evolves and updates to reflect changes to its physical counterpart throughout the product lifecycle. This creates a closed-loop feedback-loop in a virtual environment, which allows companies to continue to optimise products, production and performance at a minimal cost.
The potential applications of a digital twin depend on the life cycle stage of the product it models. Generally speaking, there are three types of digital twins, namely Product, Production, and Performance, which are explained below. The combination and integration of these Digital Twins, as they evolve together, is called Digital Thread. The term “thread” is used to indicate a path that winds through all phases of the product and production life cycle and collects and combines the data
Use of digital twins for the efficient design of new productsDigital twins can be used to virtually certify product performance all while showing the actual behaviour of the products in the real-world environment. This "digital product twin" provides a connection...