Digital Twin

This paper deals with the concept of the Industrial Metaverse and its potential impact on the manufacturing industry. First, the possibilities of the Industrial Metaverse are explained in general and then possible resulting functionalities for production technology along the life cycle are presented. For the two topics "Synthetic Data Generation" and "Virtual Qualification" the implications of the Industrial Metaverse are considered more concretely.

Bedingt durch globale Entwicklungen hinsichtlich der Preise und Versorgungssicherheit im Energiesektor stehen besonders energieintensive Unternehmen vor großen Herausforderungen. Zusätzlich fordern Kunden mehr Informationen über Energiekennzahlen und CO₂-Emissionen sowie ressourcenschonendere Prozesse. Mit einer energiedatenbasierten Simulationsmethode werden die Ressourceninformationen direkt aus dem Energiedatenmanagementsystem (EDMS) extrahiert und weiterverarbeitet. Hierbei werden sowohl aktuelle als auch stetig aktualisierte historische Daten verwendet, die automatisiert abgeglichen werden. Die digitale Abbildung der vorhandenen Prozesse ist lediglich auf Seiten der Energiedaten notwendig, ohne die technischen Prozesse in ihrer Gänze analysieren zu müssen. Mit dem so erstellten energetischen digitalen Schatten lassen sich Energiebedarfe für bevorstehende Produktionen und Produkte simulieren und können durch automatisierte Vorschläge in der Produktionsplanung positiv ...

The development of textile products is associated with high material, time, personnel and cost expenditure. The paper describes the digital twinning for materials and processes and their application in a digital product development process, which can accelerate the ramp-up phase and thus reduce development costs by up to 60%.

Digital twins (DT) for circular economy (CE) offer a promising approach as part of digital data ecosystems for more sustainable value creation. By mapping and analyzing product, component and material specific data along the li- fecycle, it is possible to address current challenges such as climate change and resource scarcity. Within Catena-X, specific solutions based on this cross-company exchanged data and information are developed. Here, the “R-Strategy Assistant” is presented. It is an application, which identifies the best CE-Strategy based on DT data at the end of a vehicle's life.

The use of Digital Twins offers a wide range of applications and opportunities for optimized processes along the entire life cycle of technical systems. However, this concept encounters specific characteristics in plant industry within the development, the construction and operation phase of plants. This article describes these special characteristics and the resulting challenges for the creation and operation of Digital Twins in plant industry. The concept of “Digital Representation” as a basis for Digital Twins is presented together with its prerequisites and potentials.

The food sector is facing many challenges, including food loss and waste. To cope with those challenges, digital twins that create a digital representation of physical entities by integrating real-time and real- world data seems to be a promising approach. This article presents the results of a literature review on digital twin applications in the food industry and analyze their challenges and potentials.

In the first article, the reference model was already explained in its essential features [1]. In the second part, the further development to a flexible reference model will be shown. The focus is on the extension to implement different source systems, the implementation of further planning tools, and the implementation of AI tools to achieve dynamic production engineering in the form of holistic and integrated factory planning. This paper explains the development of a holistic demonstrator as a proof of concept.