Abstract
Quantitation of the analysis of coatings surface roughness by a contact profilometer was undertaken to obtain improved repeatability and meaningfulness of data. This effort involved interfacing the profilometer to a personal computer for data acquisition and analysis, optimizing operational variables involved in the measurement process and improving methods for quantitative data analysis of the roughness profiles. The quantitative methods of data analysis explored included the use of various surface profile roughness averages, power spectrum analysis through zone integrals, auto-correlation function analysis and fractal analysis of the surface roughness profile. Quantitative parameters obtained from the above methods were correlated with visual and optical methods for evaluating appearance for a variety of coatings. The superiority of correlation with evaluations of appearance and repeatability of multiple runs will be demonstrated for fractal numbers obtained from a fractal analysis of surface roughness profiles.
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