Page 103 - Tribology in Machine Design
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Elements of contact mechanics  89

                                   So far only variations in the height of the surface have been discussed.
                                 However, spatial variations must also be taken into account. There are
                                 several ways in which the spatial variation can be represented. One of them
                                 uses the r.m.s. slope o m and r.m.s. curvature a k. For example, if the sample
                                 length L of the surface is traversed by a stylus profilometer and the height z
                                 is sampled at discrete intervals of length h, and if z,--i and z i+l are three
                                 consecutive heights, the slope is then defined as







                                 The r.m.s. slope and r.m.s. curvature are then found from









                                 where n = L/h is the total number of heights sampled.
                                   It would be convenient to think of the parameters a, a m and a k as
                                 properties of the surface which they describe. Unfortunately their values in
                                 practice depend upon both the sample length L and the sampling interval h
                                 used in their measurements. If a random surface is thought of as having a
                                 continuous spectrum of wavelengths, neither wavelengths which are longer
                                 than the sample length nor wavelengths which are shorter than the
                                 sampling interval will be recorded faithfully by a profilometer. A practical
                                 upper limit for the sample length is imposed by the size of the specimen and
                                 a lower limit to the meaningful sampling interval by the radius of the
                                 profilometer stylus. The mean square roughness, a, is virtually independent
                                 of the sampling interval h, provided that h is small compared with the
                                 sample length L. The parameters <r m and a k, however, are very sensitive to
                                 sampling interval; their values tend to increase without limit as h is made
                                 smaller and shorter, and shorter wavelengths are included. This fact has led
                                 to the concept of function filtering. When rough surfaces are pressed into
                                 contact they touch at the high spots of the two surfaces, which deform to
                                 bring more spots into contact. To quantify this behaviour it is necessary to
                                 know the standard deviation of the asperity heights, <r s, the mean curvature
                                 of their peaks, k s, and the asperity density, T/ S, i.e. the number of asperities
                                 per unit area of the surface. These quantities have to be deduced from the
                                 information contained in a profilometer trace. It must be kept in mind that
                                 a maximum in the profilometer trace, referred to as a peak does not
                                 necessarily correspond to a true maximum in the surface, referred to as a
                                 summit since the trace is only a one-dimensional section of a two-
                                dimensional surface.
                                  The discussion presented above can be summarized briefly as follows:
                                  (i) for an isotropic surface having a Gaussian height distribution with
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