2024-03-28T19:08:26Zhttps://ebiltegia.mondragon.edu/oai/requestoai:ebiltegia.mondragon.edu:20.500.11984/60692024-03-04T09:20:54Zcom_20.500.11984_473col_20.500.11984_478
Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
ARRAZOLA, PEDRO JOSE
Aristimuño, Patxi Xabier
Saez de Buruaga, Mikel
Zheng, Xiaochen
Perez, Roberto
Echebarria, Daniel
Kiritsis, Dimitris
Chatter detection
Milling process
Internal signal
Empirical mode decomposition
Autoencoder
Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data-driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing chatter detection approaches are based on external sensors, such as accelerometers and microphones, which require installation of extra devices. Some recent studies have proved the feasibility of online chatter detection using internal signals such as drive motor current. This study aims to investigate the effectiveness of different internal signals extracted from CNC system for chatter detection and compare them with external acceleration signals. The external and internal signals are first compared with time–frequency analysis using Discrete Fourier Transform and Ensemble Empirical Mode Decomposition approaches. Two chatter detection methods are then presented based on manually and automatically extracted features respectively. The first method uses two nonlinear dimensionless indicators, C0 complexity and Power Spectral Entropy, of filtered signals. The second approach uses autoencoder for automatic feature extraction and Support Vector Machine as classifier for chatter identification. A series of milling experiments are conducted and chatters are intentionally created by changing the milling process parameters. Multiple internal signals are collected using software provided by the machine manufacturer. Results show that several internal CNC signals, such as the nominal current signal and the actual torque signal, can achieve comparable performance to external signals for chatter detection.
2023-03-28T18:37:09Z
2023-03-28T18:37:09Z
2023
1096-1216
https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=171949
https://hdl.handle.net/20.500.11984/6069
eng
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
© 2023 The Authors
Elsevier