A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting

2020 ◽  
Vol 135 ◽  
pp. 106385 ◽  
Author(s):  
Kai Li ◽  
Songping He ◽  
Bin Li ◽  
Hongqi Liu ◽  
Xinyong Mao ◽  
...  
Keyword(s):  
Detection Method ◽  
Milling Process ◽  
Multiscale Entropy ◽  
Chatter Detection

scholarly journals Experimental Determination of Dominant Multipliers in Milling Process by Means of Homogeneous Coordinate Transformation

2017 ◽  
Author(s):  
Adam K. Kiss ◽  
Daniel Bachrathy ◽  
Gabor Stepan
Keyword(s):  
Detection Method ◽  
Monodromy Matrix ◽  
Quantitative Measure ◽  
Milling Process ◽  
Chatter Detection ◽  
External Excitation ◽  
Transient Vibration ◽  
Milling Operations ◽  
Dominant Characteristic

In this contribution, a chatter detection method is investigated for milling operations. The proposed approach can give not only qualitative condition (stable or unstable), but a quantitative measure of stability. For this purpose, it requires an external excitation of stable machining condition. Transient vibration of the perturbation is captured by means of stroboscopic section, and the corresponding monodromy operator is approximated by its projection to the subspace of the dominant modes. The monodromy matrix is determined with the application of homogeneous coordinate representation. Then, the periodic solution and the dominant characteristic multipliers are calculated and their modulus determines the quantitative measure of stability condition.

Online chatter detection in milling process based on VMD and multiscale entropy

2019 ◽  
Vol 105 (12) ◽  
pp. 5009-5022 ◽  
Author(s):  
Kai Li ◽  
Songping He ◽  
Bo Luo ◽  
Bin Li ◽  
Hongqi Liu ◽  
...  
Keyword(s):  
Milling Process ◽  
Multiscale Entropy ◽  
Chatter Detection

scholarly journals An intelligent chatter detection method based on EEMD and feature selection with multi-channel vibration signals

Measurement ◽  
2018 ◽  
Vol 127 ◽  
pp. 356-365 ◽  
Author(s):  
Yun Chen ◽  
Huaizhong Li ◽  
Liang Hou ◽  
Jun Wang ◽  
Xiangjian Bu
Keyword(s):  
Feature Selection ◽  
Detection Method ◽  
Chatter Detection ◽  
Vibration Signals

Chatter Detection in Turning Processes Using Coherence of Acceleration and Audio Signals

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Katja M. Hynynen ◽  
Juho Ratava ◽  
Tuomo Lindh ◽  
Mikko Rikkonen ◽  
Ville Ryynänen ◽  
...  
Keyword(s):  
Surface Quality ◽  
Detection Method ◽  
Early Stage ◽  
Coherence Function ◽  
Audio Signal ◽  
Chatter Detection ◽  
Audio Signals ◽  
Control Actions ◽  
Longitudinal Turning

Chatter is an unfavorable phenomenon in turning operation causing poor surface quality. Active chatter elimination methods require the chatter to be detected before the control reacts. In this paper, a chatter detection method based on a coherence function of the acceleration of the tool in the x direction and an audio signal is proposed. The method was experimentally tested on longitudinal turning of a stock bar and facing of a hollow bar. The results show that the proposed method detects the chatter in an early stage and allows correcting control actions before the chatter influences the surface quality of the workpiece. The method is applicable both to facing and longitudinal turning.

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