ICTM Aachen – International Center for Turbomachinery ManufacturingProcess monitoring & analysis based on machining data - predictive quality for thin-walled freeform surfaces
Can predictive quality for surface roughness be improved by fusion of simulation and sensory data?
Challenge and Motivation
- Varying surface quality during machining due to occurring vibrations.
- Expensive quality assurance and visual inspection due to varying surface quality.
Objective
- Investigation of potentials and limitations for predictive quality of surface roughness.
- Evaluation of surface roughness based on acquired process data (machine controller + external sensors).