DEMONSTRATION OF A NEW APPROACH FOR MEASURING TOOLS WITH THE IMPINGEMENT SOUND OF AN AIR JET USING MACHINE LEARNING

Abstract

Monitoring the tool condition of machining processes is important but challenging. Several automated tool condition monitoring solutions are available, but often not used due to existing restrictions or disadvantages. A new approach can be the detection and measurement of tool conditions analyzing the sound of an air jet impingement on tools. Due to the availability of compressed air as a working and cleaning medium for many processes, this approach can be used for various condition monitoring and measuring tasks. In this paper the procedure and its functionality are first presented on simple shapes and then tested on the tool wear of inserts.

Recommended articles

PERFORMANCE EVALUATION OF (ALCRN) PVD COATED CBN INSERTS ON MACHINING OF INCONEL 718

M. Anthony Xavior, Arivazhagan Anbalagan, P. Jeyapandiarajan
Keywords: Inconel 718 | Machining | cBN | AlCrN PVD Coating | wear | surface roughness

HIGH-RESOLUTION SURFACE TEXTURE MEASUREMENTS USING A COLLABORATIVE PICK-AND-PLACE ROBOT

R. Danzl, F. Millonig, T. Lankmair, M. Riedl
Keywords: Inline | collaborative | automation | 3D measurement | optical metrology | 3D dataset | integration | Focus Variation | surface texture