Abstract
Abstract Objectives In unattended machining, monitoring the cutting processes holds significant importance. A crucial aspect to consider is whether chip formation occurs at a specific moment or not. Acquiring this knowledge can enhance production reliability and minimize losses. Methods To address this, an algorithm is proposed for detecting chip formation using vibration signals obtained from a CNC machine. The algorithm relies on the spindle RPM and vibration signal to identify the occurrence of machining cycles (chip formations). The evaluation process involved comparing the results of the algorithm to those obtained by a human manually selecting the machining parts from the same signal. Results Its effectiveness was evaluated across various feedrates, demonstrating its applicability under different conditions. Conclusions This method is able to detect the real machining more accurate than the use of G-code-based method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Vibration Engineering & Technologies
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
