A new method for the prediction of chatter stability lobes based on dynamic cutting force simulation model and support vector machine

Currently, chatter has become the critical factor in hindering machining quality and productivity in machining processes. To avoid cutting chatter, a new method based on dynamic cutting force simulation model and support vector machine (SVM) is presented for the prediction of chatter stability lobes...

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Bibliographic Details
Published inJournal of sound and vibration Vol. 354; pp. 118 - 131
Main Authors Peng, Chong, Wang, Lun, Liao, T. Warren
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 13.10.2015
Subjects
Chatter
Computer simulation
Cutting force
Mathematical analysis
Mathematical models
Stability lobes
Support vector machines
Vibration
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Summary:Currently, chatter has become the critical factor in hindering machining quality and productivity in machining processes. To avoid cutting chatter, a new method based on dynamic cutting force simulation model and support vector machine (SVM) is presented for the prediction of chatter stability lobes. The cutting force is selected as the monitoring signal, and the wavelet energy entropy theory is used to extract the feature vectors. A support vector machine is constructed using the MATLAB LIBSVM toolbox for pattern classification based on the feature vectors derived from the experimental cutting data. Then combining with the dynamic cutting force simulation model, the stability lobes diagram (SLD) can be estimated. Finally, the predicted results are compared with existing methods such as zero-order analytical (ZOA) and semi-discretization (SD) method as well as actual cutting experimental results to confirm the validity of this new method.
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ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2015.06.011