Information Model of a Digital Process Twin for Machining Processes

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

The 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.

Details

OriginalspracheEnglisch
TitelProceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
Seiten1765-1772
Seitenumfang8
ISBN (elektronisch)9781728189567
PublikationsstatusVeröffentlicht - Sept. 2020
Peer-Review-StatusJa

Publikationsreihe

ReiheInternational Conference on Emerging Technologies and Factory Automation (ETFA)
Band2020-September
ISSN1946-0740

Konferenz

Titel2020 25th IEEE International Conference on Emerging Technologies and Factory Automation
KurztitelETFA 2020
Veranstaltungsnummer25
Dauer8 - 11 September 2020
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtTU Wien & online
StadtVienna
LandÖsterreich

Schlagworte

Schlagwörter

  • digital twin, information model, machining process, process data