Simulation-based deviation monitoring (T10#)

• Subject Area: Production Automation and Assembly Technology
• Term: from 2018 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 5486368

In the course of their lifetime, milling tools are subject to increasing tool wear that has a direct impact on the tool deflection and the resulting shape of a workpiece. Thus, methods which ensure high quality due to consideration of wear-related tool deflection offer high potential to increase process reliability and manufacturing efficiency. Subject of this transfer project is to transfer the methods for online quality monitoring which were developed within the subproject K2 to Kennametal Shared Services GmbH. Fundamental technologies are the process parallel material removal simulation and machine learning methods for autonomous parameterization of prognostic models. The respective fundamental results are transferred into a self- parameterizing system for deviation monitoring of milling operations in cooperation with Kennametal. Subsequently, the capabilities and the limitations of the system will be analyzed in an industrial scenario. The achieved knowledge is used to validate and extend the fundamental technologies that were developed in the subproject K2.

• DFG Programme: Collaborative Research Centres (Transfer Project)
• Subproject of: SFB 653: Gentelligent Components in their Lifecycle - Utilisation of Inheritable Component Inherent Information in Production Engineering
• Applicant Institution: Gottfried Wilhelm Leibniz Universität Hannover
• Project Head: Professor Dr.-Ing. Berend Denkena