A Simple Mechanistic Model for Friction of Rough Partially Lubricated Surfaces

Costagliola, Gianluca; Brink, Tobias; Richard, Julie; Leppin, Christian; Despois, Aude; Molinari, Jean-François

doi:10.1007/s11249-021-01467-1

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

A Simple Mechanistic Model for Friction of Rough Partially Lubricated Surfaces

MPS-Authors

/persons/resource/persons263259

Brink, Tobias
Atomistic Modelling of Material Interfaces, Project Groups, Structure and Nano-/ Micromechanics of Materials, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;
Civil Engineering Institute, Materials Science and Engineering Institute, École Polytechnique Fédérale de Lausanne - EPFL, 1015, Lausanne, Switzerland;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

A Simple Mechanistic Model for Friction of Rough Partially Lubricated Surfaces - Costagliola2021_Article_ASimpleMechanisticModelForFric.pdf
(Publisher version), 3MB

Supplementary Material (public)

There is no public supplementary material available

Citation

Costagliola, G., Brink, T., Richard, J., Leppin, C., Despois, A., & Molinari, J.-F. (2021). A Simple Mechanistic Model for Friction of Rough Partially Lubricated Surfaces. Tribology Letters, 69(3): 93. doi:10.1007/s11249-021-01467-1.

Cite as: https://hdl.handle.net/21.11116/0000-0009-45DD-1

Abstract

We report experimental measurements of friction between an aluminum alloy sliding over steel with various lubricant densities. Using the topography scans of the surfaces as input, we calculate the real contact area using the boundary element method and the dynamic friction coefficient by means of a simple mechanistic model. Partial lubrication of the surfaces is accounted for by a random deposition model of oil droplets. Our approach reproduces the qualitative trends of a decrease of the macroscopic friction coefficient with applied pressure, due to a larger fraction of the micro-contacts being lubricated for larger loads. This approach relates direct measurements of surface topography to realistic distributions of lubricant, suggesting possible model extensions towards quantitative predictions. © 2021, The Author(s).