<div class="csl-bib-body">
<div class="csl-entry">Mauthner, G., Hoffmann, M., Plessing, L., Trautner, T., & Bleicher, F. (2023). Industry-Oriented System Architecture for Feature-Based Data Management in CNC Machining Processes. In R. Teti & D. M. D’Addona (Eds.), <i>16th CIRP Conference on Intelligent Computation in Manufacturing Engineering</i> (pp. 157–162). Elsevier. https://doi.org/10.1016/j.procir.2023.06.028</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/187924
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dc.description.abstract
Industry 4.0 promotes data-driven optimization of computerized numerical controlled (CNC) machining processes in industrial environments. In this paper, an industry-oriented data management architecture is presented, which allows automatic relation of in-process machine and sensor feedback to CAD/CAM process meta information along the product development cycle. The proposed system utilizes state-of-the-art feature-based machining technologies and open communication protocols such as OPC UA. Thereby, it ensures seamless integration into existing industrial CNC machining networks. The proposed system is demonstrated using a milling use-case with a CNC machining center and a coordinate measurement machine.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.relation.ispartofseries
Procedia CIRP
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.subject
STEP-NC
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dc.subject
Feature-Based Machining
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dc.subject
CAD/CAM
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dc.subject
CNC Machining
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dc.subject
Data Management
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dc.title
Industry-Oriented System Architecture for Feature-Based Data Management in CNC Machining Processes
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International