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Method for chatter detection with standard PLC systems
Production Engineering, 2012The aim of growing productivity together with increasing quality demands in machining leads to milling processes that are near their stability limits. The remaining stability reserves become smaller and the risk of unstable processing conditions like chatter increases.
Abele, Eberhard +2 more
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A New Method for Chatter Detection in Grinding
CIRP Annals, 2002Abstract A new method for automatic chatter detection in outer-diameter grinding is proposed which exploits significant changes in grinding dynamics caused by the onset of chatter. The method is based on monitoring of a non-linear statistic called the coarse-grained entropy rate.
E. Govekar +4 more
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Acoustic compensation for chatter detection
2015Chatter detection has assumed a central role in monitoring of machining operations. Defining optimal detection algorithm is still an open task, besides performances of these algorithms strongly rely on employed sensors: microphone sensors are gathering growing interest in this scenario, mainly due to low cost and ease of integration into machine tool ...
SALLESE, LORENZO +3 more
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Chatter detection in a five-stand cold mill
Revue de Métallurgie, 1992In high speed, cold mill mechanical vibrations generate chatter. This defect is to be avoided to prevent the production of unacceptable sheets and damages to the mill components. The so-called chatter of the third octave mode results in severe gage variations. The chatter of the fifth octave mode develops marks on the rolls. Hoogovens has studied those
J.C. Groothuizen +2 more
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Timely online chatter detection in end milling process
Mechanical Systems and Signal Processing, 2016Abstract Chatter is one of the most unexpected and uncontrollable phenomenon during the milling operation. It is very important to develop an effective monitoring method to identify the chatter as soon as possible, while existing methods still cannot detect it before the workpiece has been damaged.
Yang Fu +6 more
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Journal of Manufacturing Science and Engineering, 1997
The purpose of this study is to introduce a new criterion for detecting regenerative chatter by application of spectral analysis. From the regenerative chatter theory, it can be seen that the vibration amplitude perpendicular to a workpiece surface comes equal to the amplitude of surface undulation at the stability limit.
E. Kondo, H. Ota, T. Kawai
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The purpose of this study is to introduce a new criterion for detecting regenerative chatter by application of spectral analysis. From the regenerative chatter theory, it can be seen that the vibration amplitude perpendicular to a workpiece surface comes equal to the amplitude of surface undulation at the stability limit.
E. Kondo, H. Ota, T. Kawai
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Chatter Detection and Identification Based on Mode Decompositions
Advanced Engineering MaterialsTo meet the demand for industrial production of calendering or rolling, it is necessary to detect the onset of chatter before chatter marks appear on the workpiece. Therefore, mode decomposition techniques (empirical, bivariate empirical, and variational) combined with machine learning (ML) are used to detect impending failures.
Surya Kannan Peesapati +4 more
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Manufacturing Science and Engineering: Volume 1 — Material Removal and Surface Modification Issues in Machining Processes; Mechatronics for Manufacturing; Computer-Aided Tooling, 1995
Abstract The purpose of this study is to find a new approach for detecting regenerative chatter by application of spectral analysis. From the regenerative chatter theory, it can be seen that the vibration amplitude perpendicular to a workpiece surface, comes equal to the amplitude of surface undulation at the stability limit.
Eiji Kondo, Hiroshi Ota, Tadao Kawai
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Abstract The purpose of this study is to find a new approach for detecting regenerative chatter by application of spectral analysis. From the regenerative chatter theory, it can be seen that the vibration amplitude perpendicular to a workpiece surface, comes equal to the amplitude of surface undulation at the stability limit.
Eiji Kondo, Hiroshi Ota, Tadao Kawai
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Chatter Detection Based on Wavelet Packet Energy Entropy
2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), 2022He Yang +3 more
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