Computer image analysis of wear particles in three-dimensions for machine condition monitoring

Abstract

Six common types of metallic wear particles, i.e., cutting, spherical, rubbing, laminar, fatigue chunk and severe sliding particles, have been studied in this paper based on the features of their boundary morphology and surface topography. Certain numerical descriptors, such as area, fibre ratio, height aspect ratio and fractal dimension, have been chosen to describe the characteristics of the boundary profiles of the wear debris. Since boundary parameters are insufficient to distinguish certain types of wear debris, several surface parameters extracted from the amplitude and spatial properties of the particles have been applied to investigate the surface roughnesses and textures of laminar, fatigue chunk and severe sliding wear debris. The study shows that classifying wear debris by studying the combined properties of their boundary profiles, surface roughnesses and textures can identify these six types of wear particles. Furthermore, nine parameters have been selected as criteria for wear particle analysis, and can be used to develop automatic computer wear particle analysis systems based on numerical descriptors.