Acoustic Emission in Friction - download pdf or read online

By Victor M. Baranov,Evgeny M. Kudryavtsev,Gennady .A. Sarychev, et al.Elsevier|Elsevier Science||Elsevier ScienceAdult NonfictionScience, Technology, EngineeringLanguage(s): EnglishOn sale date: 08.04.2011Street date: 29.07.2011Preview

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24, no 1, pp. 11–16. 36 CHAPTER 1 21. A. V. I. Sviridenok, Acoustic spectrometry as used for the evaluation of tribological systems, Wear, 1981, vol. 69, no 3, pp. 309–319. 22. M. A. Sarychev, Acoustic Monitoring of Friction Units of Nuclear Power Plants (in Russian), Moscow, 1988. 23. I. Tikhonov, Statistical Radioengineering (in Russian), Moscow, 1982. 24. M. S. Lally, Microplasticity detected by an acoustic technique, Canad. J. , 1967, vol. 63, no 1, pp. 63–81. 1. DISTRIBUTION OF PRESSURE OVER MICROCONTACT SPOTS A great variety of interrelated sources of acoustic emission of different physical nature acting in solid friction complicates the development of the general theory of AE in friction.

To assess the time interval within which the statistical correlation between the values of the random process is substantial the correlation window c is used: c = 2 Rxx 0 Rxx d 0 When > c the values of the process at instants t and t + can be assumed uncorrelated and one may suppose Rxx 0. 11). 16) d d The correlation function of random processes is determined by special devices called correlation meters or it can be calculated by a computer provided that the signal is digitised. Since the correlation function and spectral density of stationary random processes are related by the direct and inverse Fourier transforms (the Wiener–Hinchin theorem) the information content of the correlation CHAPTER 1 34 function of AE signals is similar to that of the spectral density.

The number of pulses per unit time exceeding the device discrimination level is called the count rate of AE N˙ . This characteristic is most easy to be registered. That is why many researchers strove to relate it to the characteristics of the deformation and failure of materials and to the characteristics of processes in the friction zone. Postdetection and predetection pulse counts should be distinguished. In the former case (Fig. 2) a signal produced by a gage is amplified and detected then the number of overshoots of the waveform envelop over a preset discrimination level per unit time is found.

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