SURFACE CHARACTERISATION USING IMAGE PROCESSING

Abstract

The complexity of surfaces in the human environment and the fast flow and transfer of information necessitates the modification of existing approaches or the implementation of new ones for the development and maintenance of surfaces in contact. The complete understanding and management of tribological processes, which are dynamic processes with an uncertain number of parameters, require the application of modern information and intelligent technologies. Analysis of surface topography often necessitates the utilization of sophisticated equipment. However, the availability of such equipment is not always guaranteed or justified. Therefore, there is a need to establish an environment where control can be achieved at any time. Therefore, this paper presents a methodology for analysing surface topography based on generating spatial surfaces using image processing from an optical microscope. By applying an appropriate threshold and segmenting the wear track, a series of 2D and 3D roughness parameters can be determined in the userselected plane. This allows for faster determination of the defined parameters and provides an overview of the behaviour of surfaces in contact.