Industrial manufacturing is faced with ever new and growing challenges. The shortage of skilled workers has long been omnipresent. In addition, there are shorter product life cycles and higher variant diversity with smaller batch sizes. At the same time, market dynamics and changing supply chains demand ever higher machine utilization rates, greater transparency over production and the ability of employees to perform their tasks in a targeted manner. In this complex environment, the concept of the digital twin is seen as a great beacon of hope. Reason enough to look beyond the boundaries of reality here and address the question: "So what is a digital twin?"
What is the Digital Twin?
The most important thing to say first: measured against human understanding, the concept of a digital twin is inadequate from a technical point of view. Admittedly, it is very much about the transformation of an actual or assumed reality with all its details and properties into digital space. However, such a digital replica would be completely incapable of action on its own and thus worthless.
The Digital Twin only becomes really valuable through the digital model of the real object and its digital image. Digital models are therefore dynamic 3D representations of a real object that can be used for simulations and analyses. The associated digital images of the corresponding real components in turn represent the data captured or to be simulated from these models. Only through the inclusion of digital models and digital shadows of the actual component is the digital twin finally able to improve the products and processes concerned or prevent errors in a continuous control loop of simulation, analysis and optimization on the basis of the information generated.