Characterising the friction and wear behaviour of lubricated metal‐metal pairings with an optical online particle detection system

Abstract

In this study, a simple ball‐on‐prism test set‐up is combined with an optical online wear particle detection system. The set‐up is used to study the friction and wear characteristics of some exemplary oil lubricated metal‐metal pairings. In addition to the time‐resolved evolutions of the coefficient of friction and the volumetric wear, the number of wear particles, the particle sizes and the particle shapes are obtained during the test by using an online particle detection system. The number of small (<5 μm) wear particles increases steadily during the tests, while the number of larger (>10 μm) particles only increases during the running‐in period and remains almost constant afterwards. Simultaneous drops in the curves for the coefficient of friction and the trend curves for the number of wear particles indicate a possible interrelation. The individual curves for the different particle sizes suggest that mainly small particles (<5 μm) contribute to that relation. © 2017 John Wiley & Sons, Ltd.

A Partial Hierarchical Model for Online Low-Resolution Wear Particle Images Classification

“…Online wear particle images acquiring and analysis make wear condition monitoring real time and straightforward by avoiding frequent oil sampling. Optical techniques using LED or laser beam and a charge-coupled device (CCD) sensor to acquire wear particle images are not new [1,12,27]. When particles pass through the view of light beam, their morphology can be captured by using the camera.…”

Model of a Light Extinction Sensor for Assessing Wear Particle Distribution in a Lubricated Oil System

“…Performance parameters for different types of oil degradation have been identified [1], and a case study from 2015 [2] showed how frequently obtained oil samples helped assess rate and type of wear for a heavy earth-moving machine. In particular, the presence of wear particles and their dimensional features in the lubrication oil have shown to yield valuable information regarding the condition and wear rate of operating mechanical systems [3,4,5]. A variety of sensors exist today for continuous condition monitoring of different oil parameters, and the majority of particle measuring sensors are based on a magnetic or optical measurement principle [6].…”