Determination of CMC Grinding Processes with Reduced Workpiece Damage through Data-Driven Process Analysis

Key Info

Basic Information

01.01.2023 to 31.12.2023
Organizational Unit:
Chair of Manufacturing Technology, Grinding Technology
International Center for Turbomachinery Manufaturing (ICTM)

Research partner

    • Fraunhofer IPT
    • Alliance of several industrial companies from turbo machines manufacturing



Eike Reuter

Research Assistant


+49 241 80 25388



Ceramic Matrix Composites (CMCs) are innovative materials with high growth potential in the aerospace industry. Due to manufacturing-related geometrical inaccuracies, grinding of the workpieces is required in many cases. The influence of the process input variables during grinding (grinding process parameters, grinding tool) and the fiber orientation of the workpieces on the machining behavior of these composites and the resulting surface qualities of the workpieces have been insufficiently investigated. Due to the lack of knowledge of the material-specific machining behavior, the reproducible grinding of damage-free fiber-reinforced ceramics is only possible to a limited extent. This results in high costs in final workpiece testing and grinding-related scrap.

The acquisition and evaluation of grinding process data from the machine drives and external sensors offer the potential to identify damage during grinding. In this context, machine learning models enable both the classification of components into quality classes and the evaluation based on concrete damage parameters.

The aim of the project is to develop a method for data-driven damage identification in the grinding of CMCs, thus enabling process design to be optimized and scrap to be reduced.