Tacit Knowledge Based Acquisition of Verified Machining Data

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

In the era of digitalization, the efficiency of machine tools can be improved due to optimized machining simulations. However, actual simulations only consider the kinematics of the machine tool and not the influence of the machining data, which are changed by experienced machine operators rather frequently. Moreover, these changes of machining data are not always properly communicated. For various reasons, this important knowledge of the machine operators remains tacit. Transferring tacit knowledge of the machine tool operators at the shop floor automatically to a database has not been possible so far. This paper describes a workflow for the acquisition of verified machining data and how to transfer them to a database.
Originalspracheenglisch
Titel2020 9th International Conference on Industrial Technology and Management (ICITM)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
Seiten117-121
ISBN (elektronisch)978-1-7281-4306-4
DOIs
PublikationsstatusVeröffentlicht - 5 Feb 2020
Veranstaltung9th International Conference on Industrial Technology and Management - Oxford, Großbritannien / Vereinigtes Königreich
Dauer: 11 Feb 202013 Feb 2020

Konferenz

Konferenz9th International Conference on Industrial Technology and Management
KurztitelICITM 2020
LandGroßbritannien / Vereinigtes Königreich
OrtOxford
Zeitraum11/02/2013/02/20

Fingerprint Untersuchen Sie die Forschungsthemen von „Tacit Knowledge Based Acquisition of Verified Machining Data“. Zusammen bilden sie einen einzigartigen Fingerprint.

  • Dieses zitieren

    Schmid, J., Trabesinger, S., Brillinger, M., Pichler, R., Wurzinger, J., & Ciumasu, R. (2020). Tacit Knowledge Based Acquisition of Verified Machining Data. in 2020 9th International Conference on Industrial Technology and Management (ICITM) (S. 117-121). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICITM48982.2020.9080346