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Analysis of stochastic properties of the grinding process
Klocke, F. ...
Characterization of the plunge grinding process is presented, based on the measured normal cutting forces and the acoustic emission (AE) signals. According to the power spectra of the AE signals, the ...suitability of three different AE sensors for grinding process monitoring was examined first. Both, the sensor type and its location, were found to influence the information content of the acquired AE signals. Next, time series of normal forces during chatter-free grinding and chatter were analyzed. The reduction of the complexity of the system dynamics caused by the onset of chatter was characterized by principal component analysis and coarse-grained entropy rate. The entropy rate is applicable as a relative measure for chatter indication. Experimentally, chatter appeared due to improper machining conditions and increased grinding wheel wear. Two types of chatter were identified. Using higher order spectra, quadratic phase coupling proved to differentiate between the two chatter types and their causes.
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