Limitations in the existing models for predicting accurate interdependencies between wear and friction noise,

Abstract

In recent years, the investigation of friction noise has gained increasing attention within the field of tribology. Wear processes pose a significant hurdle in the industrial sector as reduce the lifespan of machine components. The replacement of damaged components, including brake systems and high-speed running machines, incurs substantial expenses. Thus, there arises a need for a method capable of identifying alterations in surface contact conditions, enabling the monitoring of the process and anticipation of the noise and rate of wear. To directly measure wear, it would be necessary to remove one of the contact surfaces (i.e., mechanical contacts such as gears and bearings.) for visual inspection, resulting in significant downtime. Alternatively, indirect measurements of wear can be performed by assessing the emitted machine noise and establishing a correlation between the noise and the alteration in surface topography caused by wear progress. Friction noise refers to the acoustic emissions generated during the contact between rough surfaces in motion. These emissions contain valuable information about the dynamics and characteristics of the sliding surfaces. Therefore, the researchers have attempted to model the interdependencies in between friction, wear and noise to find out the mentioned information and mapped it with the surface health of the mechanical contacts. The objective of this research paper is to examine all the prominent current models to discuss their approaches about how the noise can be generated from friction and later generate surface wear. This paper mainly aims to highlight their key limitations and identify the current challenges in modeling the mentioned interdependencies with accuracy.