After a roughness formula validation using laboratory data, three other validation tests have been applied sucessfully, using roughness classifications, comparison with an established roughness model, and spatial averaging consistency tests.
For practical applications, in agreement with the ISO road roughness surfaces classification, it is possible to generate an artificial road profile from a stochastic representation, in terms of the function of Power Spectral Density (PSD) of vertical displacements obtained through the Fourier Transform of the auto-correlation function of the stochastic process describing the road profile.
The ISO 8608, in order to facilitate the comparison of the different road roughness profiles, proposes a classification which is based, as already stated, on their PSD, calculated in correspondence of conventional values of spatial frequency n0 = 0.1 cycles/m and angular spatial frequency Ω0 = 1 rad/m.
First, the morphology is studied: various features and scales of roughness are presented, and a classification is proposed.
The problems analyzed herein include the following: (i) simulation of pH neutralization process, (ii) prediction of surface roughness in end milling, and (iii) classification of soil liquefaction conditions.
Reliable classification into smooth and rough is proposed and roughness changes within different particle batches were tracked systematically.
On the other side, the classification of point clouds by roughness index seems promising for recording the grading of the sediments.
A novel method for the classification of material type and its surface roughness by means of a lightweight plunger probe and optical mouse is presented in this paper.
We initially carried out the classification of a large number of parameters of roughness, on the basis of their relevance with regard to cutting speed.
