Semantic Model for CAx-Process Chains

The increasing complexity of parts and processes induce companies to use a variety of specialized software systems before and during the production processes steps. Combined to one process chain there are gaps between the process steps and systems occurring, which do not transfer all needed information for establishing a robust process chain. In previous works, a methodology was introduced to analyze the CAx-process chains, to evaluate the different process alternatives and to identify optimizing potentials within the process chains. For capturing the CAx-process chains a semantic model is needed which describes the flow control of the process steps in the corresponding CAx-process chains based on information such as CAD data, NC programs and analysis data. Additional metrics for calculating process related characteristics are used to provide an evaluation of the entire process chain. Within the metrics different evaluation criteria like costs, time, quality and resource efficiency can be considered. Based on this evaluation the optimizing potentials within the process chain will be identified. In order to describe the CAx-process chain, a domain specific language has to be specified. The results of the work will be verified by specifying a use case and real life scenarios.

The outline of the work plan of the master thesis includes the following steps:

  • Identification of parameters including process related characteristics, boundary conditions, evaluation criteria as well as meta-data and model-data required for CAx-process chain
  • Specifying a semantic model describing the CAx-process chain
  • Proof-of-concept by demonstration of scenarios

Dipl. Wirt-Ing. Pascal Schug Fraunhofer IPT Aachen

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Thesis for degree:



Alexandr Kotlov