Year: 2024
Type: article
Abstract: In the industrial sector, products evolve significantly over their operational life. A key challenge has been maintaining precise, relevant engineering data. This paper explores the digital twin concept, merging engineering and operational data to enhance product information updates. It examines digital twin applications in construction, material flow, manufacturing and production, citing battery production and additive manufacturing. Digital twins aid in analyzing, experimenting with, and refining a system’s design and its operation, offering insights across product and system lifecycles. This includes tackling data management and model-data consistency challenges, as well as the recognition of synergies. This paper emphasizes sustainable, efficient management of engineering information, reflecting shifts in product longevity and documentation in industrial products and machinery.
Source: at - Automatisierungstechnik
Authors: Birgit Vogel-Heuser, Fandi Hartl, Moritz Wittemer, Jingyun Zhao, Andreas Mayr, Martin Fleischer, Theresa Prinz, Anne Fischer, Jakob Trauer, Philipp Schroeder, Ann-Kathrin Goldbach, Florian Rothmeyer, Markus Zimmermann, Kai-Uwe Bletzinger, Johannes Fottner, Rüdiger Daub, Klaus Bengler, André Borrmann, Michael F. Zaeh, Katrin Wudy
Institution: Technical University of Munich
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,489
OpenAlex ID: W4402409936