Title: Information Model of a Digital Process Twin for Machining Processes
Authors: Caesar, Birte
Hänel, Albrecht
Wenkler, Eric
Corinth, Christian
Ihlenfeldt, Steffen
Fay, Alexander 
Language: eng
Issue Date: 2020
Publisher: IEEE
Document Type: Conference Object
Page Start: 1765
Page End: 1772
Published in (Book): 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Publisher Place: Piscataway
Conference: 25th IEEE International Conference on Emerging Technologies And Factory Automation (ETFA 2020), September 08-11, 2020, Vienna, Austria
he development of digital process twins goes hand
in hand with the digitalization of manufacturing’s production
chain, especially in the machining of parts. The essential basis
of these digital process twins is the information model, which
describes the properties and relationships of all relevant data
and information required to realize the processing task and a
digital representation. This paper describes such an information
model and presents the benefits and application potentials of
digital process twins in the machining of parts.
Organization Units (connected with the publication): Automatisierungstechnik 
Publisher DOI: 10.1109/ETFA46521.2020.9212085
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