Next Article in Journal
Complex Corrosion Properties of AISI 316L Steel Prepared by 3D Printing Technology for Possible Implant Applications
Next Article in Special Issue
Determination of an Objective Criterion for the Assessment of the Feasibility of an Instrumented Indentation Test on Rough Surfaces
Previous Article in Journal
Modelling the Surface Plasmon Spectra of an ITO Nanoribbon Grating Adjacent to a Liquid Crystal Layer
Previous Article in Special Issue
Surface Reflectance: An Optical Method for Multiscale Curvature Characterization of Wear on Ceramic–Metal Composites

This is an early access version, the complete PDF, HTML, and XML versions will be available soon.

Open AccessArticle

How to Select 2D and 3D Roughness Parameters at Their Relevant Scales by the Analysis of Covariance

1
Vallourec, 92100 Boulogne-Billancourt, France
2
Laboratory of Industrial and Human Automation Control, Mechanical Engineering and Computer Science, UMR 8201, Polytechnic University of Hauts-de-France, 59313 Valenciennes, France
3
Laboratory Quartz EA 7393, Supméca, 93400 Saint-Ouen-sur-Seine, France
4
TOTAL Marketing & Services, Centre de Recherche de Solaize, 69360 Solaize, France
*
Author to whom correspondence should be addressed.
Materials 2020, 13(7), 1526; https://doi.org/10.3390/ma13071526 (registering DOI)
Received: 4 February 2020 / Revised: 10 March 2020 / Accepted: 11 March 2020 / Published: 26 March 2020
(This article belongs to the Special Issue Tribology: Friction and Wear of Engineering Materials)
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.
Keywords: roughness; lubricant; wear; pitting roughness; lubricant; wear; pitting
Show Figures

Graphical abstract

MDPI and ACS Style

Tchoundjeu, S.; Bigerelle, M.; Robbe-Valloire, F.; Botelho, T.D.S.; Jarnias, F. How to Select 2D and 3D Roughness Parameters at Their Relevant Scales by the Analysis of Covariance. Materials 2020, 13, 1526.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop