RT Journal Article
SR Electronic
A1 Piórkowski, Paweł
A1 Roszkowski, Andrzej
A1 Szabla, Zofia
T1 Diagnostics of Milling Head Using Acoustic Emission
JF Manufacturing Technology Journal
YR 2025
VO 25
IS 2
SP 222
OP 229
DO 10.21062/mft.2025.023
UL https://journalmt.com/artkey/mft-202502-0008.php
AB Monitoring and diagnostics of cutting tools are crucial for ensuring production efficiency and product quality in the machining industry. This study uses acoustic emission (AE) to non-invasively detect damage and monitor tool condition in real time. Experiments assessed cutting inserts in a milling head, both used and new. Results showed AE effectively diagnoses tool wear, with significant differences in signals from worn and new inserts. Fast Fourier Transform (FFT) analysis determined the frequency range of signals during machining, confirming AE's usefulness. Microscope verification supported the AE findings on tool wear. This research highlights AE's potential in non-destructive diagnostics, enhancing production efficiency and product quality