Nanoscale phenomena in lubrication : From atomistic simulations to their integration into continuous models

The modern trends in lubrication aim at reducing the oil quantity in tribological applications. As a consequence, the film thickness in the contact zone decreases significantly and can reach the order of magnitude of a few nanometres. Hence, the surface separation is ensured by very few lubricant molecules. Atomistic simulations based on the Molecular Dynamics method are used to analyze the local behavior of these severely confined films. A particular attention is paid to the occurrence of wall slip: predictive models and analytical laws are formulated to quantify and predict this phenomenon as a function of the surface-lubricant pair or the local operating conditions in a contact interface. Then, the coupling between Molecular Dynamics simulations and macroscopic models is explored. The classical lubrication theory is modified to include slip effects characterized previously. This approach is employed to study an entire contact featuring a nano-confined lubricant in its center, showing a severe modification of the film thickness and friction. Finally, the lubricant quantity reduction is pushed to the limits up to the occurrence of local film breakdown and direct surface contact. In this scenario, atomistic simulations allow to understand the relationship between the configuration of the last fluid molecules in the contact and the local tribological behavior.

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Source https://theses.hal.science/tel-00961197
Author Savio, Daniele
Maintainer CCSD
Last Updated May 5, 2026, 22:46 (UTC)
Created May 5, 2026, 22:46 (UTC)
Identifier NNT: 2013ISAL0112
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] (LaMCoS) ; Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
creator Savio, Daniele
date 2013-10-31T00:00:00
harvest_object_id e1929595-5bda-4ed4-8b0d-acc6678bfaec
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE