Information Model of a Digital Process Twin for Machining Processes
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
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
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers (IEEE) |
| Seiten | 1765-1772 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781728189567 |
| Publikationsstatus | Veröffentlicht - Sept. 2020 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | International Conference on Emerging Technologies and Factory Automation (ETFA) |
|---|---|
| Band | 2020-September |
| ISSN | 1946-0740 |
Konferenz
| Titel | 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation |
|---|---|
| Kurztitel | ETFA 2020 |
| Veranstaltungsnummer | 25 |
| Dauer | 8 - 11 September 2020 |
| Webseite | |
| Bekanntheitsgrad | Internationale Veranstaltung |
| Ort | TU Wien & online |
| Stadt | Vienna |
| Land | Österreich |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- digital twin, information model, machining process, process data