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October 9, 2024
Journal Article
Title

Layer-based information model for 5-axis milling processes using a GraphQL schema

Abstract
The view of process-related information in NC-bound manufacturing technologies can range from a perspective of a single cutter location within a considered toolpath to aggregated data which represent the whole operation sequence of a manufacturing process. Data processing pipelines are often individually programmed for the process planning or machining stage addressing an isolated database abstraction layer. This paper proposes a data modeling approach based on a GraphQL schema empowering the user to query planning and actual process data cross-linked with different aggregation layers by a single request.
Author(s)
Rudel, Viktor  orcid-logo
Fraunhofer-Institut für Produktionstechnologie IPT  
Wichter, David
Fraunhofer-Institut für Produktionstechnologie IPT  
Schiller, Sven  
Fraunhofer-Institut für Produktionstechnologie IPT  
Vinogradov, Georg
Fraunhofer-Institut für Produktionstechnologie IPT  
Müller, Aleksandra
TH Aachen -RWTH-, Werkzeugmaschinenlabor -WZL-  
Ganser, Philipp  
Fraunhofer-Institut für Produktionstechnologie IPT  
Bergs, Thomas  
Fraunhofer-Institut für Produktionstechnologie IPT  
Journal
Procedia CIRP  
Project(s)
EXC 2023: Internet of Production  
Funder
Deutsche Forschungsgemeinschaft -DFG-, Bonn  
Conference
Conference on Intelligent Computation in Manufacturing Engineering 2023  
Open Access
DOI
10.1016/j.procir.2024.08.381
10.24406/h-478904
File(s)
Full text.pdf (714.41 KB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
Language
English
Fraunhofer-Institut für Produktionstechnologie IPT  
Keyword(s)
  • Information model

  • Data model

  • Computer aided manufacturing (CAM)

  • GraphQL

  • Digital twin

  • Blisk

  • 5-axis milling

  • Data processing

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