Cluster analysis of acoustic emission signals from the friction zone of tribosystems
DOI:
https://doi.org/10.31891/2079-1372-2020-96-2-25-33Keywords:
tribosystem; wear rate; coefficient of friction; acoustic emission; cluster analysis; peak factor; transient processes; running-in.Abstract
The directions of the use of the method of acoustic emission (AE) for the study of stationary and transient processes in tribosystems during the operation have been considered here. It has been shown that the application of this method will allow obtaining information about the state of friction surfaces and the rate of wear during transients (running-in) processing online.
To substantiate the choice of the informative parameters of AE, the cluster analysis of the frames of AE signals from the friction zone of the tribosystem with the separation of the signal into the groups of the sources of its generation has been performed. The correlation dependence between the friction coefficient fтр and the values of the peak factor of cluster K2, the correlation coefficient r = 0.99, and the rate of volumetric wear I, m3/h, and the values of the peak factor of cluster K3, the correlation coefficient r = 0.99 have been established. The values of the peak factor of cluster K4 correlate with the rate of volumetric wear during the running-in, the correlation coefficient r = 0.98.
It has been experimentally confirmed that the cluster analysis of acoustic emission signals from the friction zone of the tribosystem allows one to identify the surface processes during wear, thereby increasing the robustness and information content of the AE method. This analysis can serve as the basis for the development of a diagnostic technique for tribosystems during their operation, which will make it possible to measure the wear rate at any time and calculate the tribosystem resource
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