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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Additional resources for Acoustic Emission in Friction
3. Sources of AE Signals at Friction of Solids Sources of AE Elastic interaction, impacts Changes in stress-strain state of a local volume of solid surface layer Plastic deformation, damage Generation, motion and interaction of dislocations Energy liberation at repeated deformation or phase hardening-weakening and damage of surface layer Changes in friction surface structure Formation of microcracks, micropores and new surfaces because of wear Appearance of wear debris Surface spalling and formation of fatigue pit Characteristics of AE are sensitive to the wear mode.
This yields the mean-square error of N˙ several times less compared with postdetection count. At the same time, the use of predetection count distorts such AE characteristics as the amplitude and amplitude-time distributions, CHAPTER 1 24 the spectral density, the total count, etc. Therefore, the dependencies of these characteristics on friction conditions (load, sliding velocity, surface roughness) also change. Nevertheless, if characteristics of a narrow-band gage are known, the results of predetection count allow one to reconstruct some initial characteristics of acoustic emission, for example, the amplitude and amplitude-time distributions.
The fatigue failure of the surface layer under the effect of alternate stresses on contact spots is thought to be the main cause of wear [11, 12]. The characteristic size of a deformed material volume is proportional to the stress within contact spots. SIMULATION OF CHARACTERISTICS OF ACOUSTIC EMISSION IN FRICTION 49 Therefore, the wear debris distribution should also be proportional to the pressure distribution. Vast experimental data presented in  show that so it is. The pattern of the distribution functions of debris dimensions is similar to that of the probability density of the pressure distribution presented in Fig.