Abstract
The paper deals with a new method for the tool breakage monitoring of milling cutter insert through acoustic emission (AE) technique. An insert breakage detection method based on support vector machine (SVM) is proposed, which consists of off-line phase and on-line phase. In the off-line phase, 13 AE signal features were extracted as input and then the SVM model was established and optimized. In the on-line phase, the constructed model was used to detect insert breakage. The proposed method was applied and validated by an experiment conducted on a rotor slot milling machine in a factory. The result shows the validity and practicability of this method.
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 callDisclaimer: 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.
