ICTM Aachen – International Center for Turbomachinery ManufacturingTool condition monitoring for autonomous decision support on machine tools
Can indirect tool monitoring detect non-uniform tool wear to support autonomous tool change?
Challenge and Motivation
- Automated tool change triggered by indirect wear monitoring is beneficial for productivity and ecology.
- Utilization of only internal signals in manufacturing has proven difficult, whereby chipping remains unconsidered in conventional assessment.
Objective
- Extend tool usage by adoption of machine tool data and additional sensory for indirect tool wear monitoring.
- Assess machining data using regression approaches for the detection of non-uniform tool wear.