Evaluation of effective area of wear particles using image

Abstract

The aim of this study is to calculate effective area of wear particles collected from oil sample through ferrographic analysis. Area was calculated using ImageJ software, which is image processing software used for analyzing, editing and processing image. The experimental result collected from direct reading ferrography indicated increase in concentration of large and small size wear particles. As large size particle count was above 90, ferrogram slide was prepared to study the morphology of wear particles and observed under bi-chromatic microscope. The morphology of wear particle in terms of their size, shape and color reflects the complex nature of wear progression involved in the formation of particle. This methodology helps to improve the performance of ferrographic analysis by calculating area of wear particle which helps to detect the type and nature of wear particles. Suggested methodology can help researchers to obtain effective area of wear particle and its morphology.