Engine Wear Analysis by Rotating Disc Electrode Optical Emission Spectroscopy (RDEOES)

Abstract

Lubricating oil is most important and essential part of machine system. Engine oil analysis is used to access the condition of machine system. The most effective way to predict failure is based on parameters that are reliable indicators of wear. Used oil samples which contain particle due to the wear process, allows an assessment of the tribology condition of the system in the early stages of its use. This paper deals with analysis of lubricating oil from Mahindra pick up vehicle. In this study successive readings are taken and analysis of data is done to determine wear rate and trend. From data obtained it is possible to predict failure of particular component of engine. From obtained data we get 8 more effective elements named as Aluminum, Calcium, Chromium, Copper, Iron, Magnesium, Lead and Silicon. In the study RDEOES technique is used to measure the ppm (parts per million) levels of wear metal, contaminants and additives in engine oil sample. The spectroscope detect various elements. The reports of oil testing are attached further and causes and remedies are elaborated.