Algorithm for Parameterization of an Acoustic Emission Measurement System in the Turning Process
1
Department of Machine Tools and Mechanical Technologies, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology
27 Wybrzeże Wyspiańskiego st.
50-370 Wrocław, Poland
Submission date: 2026-02-06
Final revision date: 2026-04-20
Acceptance date: 2026-04-21
Online publication date: 2026-05-12
Corresponding author
Paweł Piórkowski
Department of Machine Tools and Mechanical Technologies, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology 27 Wybrzeże Wyspiańskiego st. 50-370 Wrocław, Poland
Department of Machine Tools and Mechanical Technologies, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology 27 Wybrzeże Wyspiańskiego st. 50-370 Wrocław, Poland
KEYWORDS
TOPICS
ABSTRACT
This study investigates the use of Acoustic Emission (AE) for monitoring cutting tool wear during turning. Experiments were carried out using a Vallen AMSY-6 system and a VS370-A2 sensor. The work focuses on optimizing AE system settings, including filter bandwidth, detection threshold, and impulsive signal acquisition under varying cutting conditions. A systematic procedure for configuring the AE measurement process was established. Results show that employing a 20 kHz–800 kHz band-pass filter and a detection threshold of ~90 dB effectively isolates AE events associated with cutting and reveals a pronounced increase in AE activity when the tool is worn. These findings confirm AE as a sensitive technique for detecting cutting edge wear and underline its potential for real-time tool condition monitoring.
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| eISSN: | 2391-8071 |
| ISSN: | 1895-7595 |
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