Image processing methods applied in mapping of lubrication parameters

Abstract

Simple image processing approaches, like advanced palette fitting and convolution filters, can effectively replace traditional numerical methods in study of ball bearings. Two innovative experimental methods for mapping of tribological parameters in elastohydrodynamically lubricated contacts were developed, based on combination of optical tribometer (used for view into simulated rolling bearing) and software processing of chromatic interferograms. The lubricant shape reconstruction uses optimized colorimetric analysis (Thin Film Colorimetric Interferometry, TFCI), while the fast contact pressure mapping method is based on Inverse Elasticity Theory (IET) and convolution. © 2009 Springer-Verlag.