|Title:||Information Model of a Digital Process Twin for Machining Processes||Authors:||Caesar, Birte
|Language:||eng||Subject (DDC):||620 Ingenieurwissenschaften||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||Abstract:||
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|
|Appears in Collections:||3 - Reported Publications|
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