Abstract
In this paper, a multi-scale methodology is proposed to model and characterize the effect of two lubricants on changes in surface morphology during a running-in test. The test concerns two steels samples, mounted on a twin-disc tribometer to test each of lubricants A and B for a period of 42 h. The changes are characterized by the standardized roughness parameters given in ISO 25178. A technique involving replication is used to monitor wear during the test. Using all these replication measurements, a multi-scale methodology is applied. These selected models highlighted the relevant parameters for quantifying wear during lifespan, and also showed that lubricant A was better able to preserve surface integrity during wear than lubricant B.
Highlights
Many tribology studies have used surface topography to analyze and quantify the behavior of a system [1,2]
The monitoring of surface morphology constitutes the basic analysis of the tribological process
The study of the temporal tribological process becomes truly interesting if it is studied under different conditions
Summary
Many tribology studies have used surface topography to analyze and quantify the behavior of a system (wear, friction) [1,2]. The study of a tribological process involves the continuous (or progressive) monitoring of the morphological change of the surface over time [3] or during the continuous evolution of a mechanical request: for example, monitoring surface damage on a tribometer [4], surface wear [5,6,7,8], changes in the tribo-chemical process [9,10], plastic deformation [11]. The study of the temporal tribological process becomes truly interesting if it is studied under different conditions. Such conditions could be environmental (temperature [13,14], corrosion [15], biological environment [16,17]) process conditions (lubricant type [18], mechanical request [19], etc.) or material conditions [20,21,22]
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