Seamless Data Integration in the CAM-NC Process Chain in a Learning Factory

Johannes Schmid; Rudolf Pichler

doi:https://doi.org/10.1016/j.promfg.2020.04.038

Seamless Data Integration in the CAM-NC Process Chain in a Learning Factory

Johannes Schmid, Rudolf Pichler

Institut für Fertigungstechnik (3010)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

The seamless data integration of different components in the CAM-NC process chain (tool management software, tool dispensing system, presetting machine and machine tool) is essential for maximizing the efficiency and minimizing the total error rate. This is done by entering the data into the system of the network only once. Then this data is available for all participants in this network at any time. This paper describes the aforementioned integration by using the example of creating a digital tool, which is used in a CAM simulation afterwards. Then the real set-up and machining process is discussed. The process chain explained in this paper was implemented at the smartfactory@tugraz - the Learning Factory at Graz University of Technology.

Originalsprache	englisch
Titel	Procedia Manufacturing
Untertitel	Learning Factories across the value chain – from innovation to service – The 10th Conference on Learning Factories 2020
Herausgeber (Verlag)	Elsevier Ltd.
Seiten	31-36
Seitenumfang	6
Band	45
DOIs	https://doi.org/10.1016/j.promfg.2020.04.038
Publikationsstatus	Veröffentlicht - 1 Jan. 2020
Veranstaltung	10th Conference on Learning Factories: CLF 2020 - TU Graz, Virtuell, Österreich Dauer: 15 Apr. 2020 → 17 Apr. 2020 https://www.tugraz.at/events/clf2020/home/

Publikationsreihe

Name	Procedia Manufacturing
Herausgeber (Verlag)	Elsevier B.V.

Konferenz

Konferenz	10th Conference on Learning Factories
Kurztitel	CLF 2020
Land/Gebiet	Österreich
Ort	Virtuell
Zeitraum	15/04/20 → 17/04/20
Internetadresse	https://www.tugraz.at/events/clf2020/home/

ASJC Scopus subject areas

Artificial intelligence
Wirtschaftsingenieurwesen und Fertigungstechnik

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https://doi.org/10.1016/j.promfg.2020.04.038Lizenz: CC BY-NC-ND 4.0

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http://www.scopus.com/inward/record.url?scp=85085473050&partnerID=8YFLogxK

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Seamless Data Integration in the CAM-NC Process Chain in a Learning Factory. / Schmid, Johannes; Pichler, Rudolf.
Procedia Manufacturing: Learning Factories across the value chain – from innovation to service – The 10th Conference on Learning Factories 2020. Band 45 Elsevier Ltd., 2020. S. 31-36 (Procedia Manufacturing).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Schmid, J & Pichler, R 2020, Seamless Data Integration in the CAM-NC Process Chain in a Learning Factory. in Procedia Manufacturing: Learning Factories across the value chain – from innovation to service – The 10th Conference on Learning Factories 2020. Bd. 45, Procedia Manufacturing, Elsevier Ltd., S. 31-36, 10th Conference on Learning Factories, Virtuell, Österreich, 15/04/20. https://doi.org/10.1016/j.promfg.2020.04.038

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title = "Seamless Data Integration in the CAM-NC Process Chain in a Learning Factory",

abstract = "The seamless data integration of different components in the CAM-NC process chain (tool management software, tool dispensing system, presetting machine and machine tool) is essential for maximizing the efficiency and minimizing the total error rate. This is done by entering the data into the system of the network only once. Then this data is available for all participants in this network at any time. This paper describes the aforementioned integration by using the example of creating a digital tool, which is used in a CAM simulation afterwards. Then the real set-up and machining process is discussed. The process chain explained in this paper was implemented at the smartfactory@tugraz - the Learning Factory at Graz University of Technology.",

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AB - The seamless data integration of different components in the CAM-NC process chain (tool management software, tool dispensing system, presetting machine and machine tool) is essential for maximizing the efficiency and minimizing the total error rate. This is done by entering the data into the system of the network only once. Then this data is available for all participants in this network at any time. This paper describes the aforementioned integration by using the example of creating a digital tool, which is used in a CAM simulation afterwards. Then the real set-up and machining process is discussed. The process chain explained in this paper was implemented at the smartfactory@tugraz - the Learning Factory at Graz University of Technology.

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Seamless Data Integration in the CAM-NC Process Chain in a Learning Factory

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

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