steel-wear-particles-prediction-vs-afm-dls
Computational Tribology

Predicting the size of wear particles

21.11.2016 tribonet
A wear process results in the generation of particles, of various size, shape, color and chemical composition. The reported size of wear particles varies from mm scale, which is typically attributed to severe wear, to […]
MD vs Reynolds
Computational Tribology

Slip, No Slip and Cavitation

05.09.2016 Aydar Akchurin
Engineering surfaces are heterogeneous and can be slippery or sticky locally depending on surface roughness and chemistry. The variation of surface properties affects the interaction between the wall and lubricant and determines friction. Slip can […]
WaterBetweenDiamondSlabs
Computational Tribology

Ab Initio Analysis of Carbon Film Lubricity

16.05.2016 Aydar Akchurin
Carbon-based nanomaterials, coatings and films attracted a great attention due to proved possibility to achieve lowest friction and wear without environmental pollution. However, frequently, the state of the low friction is strictly related to the […]
Computational Tribology

Hysteresis in Friction of Graphene

02.05.2016 Aydar Akchurin
Friction is a result of complex interaction of physical, chemical and mechanical forces at the sliding interface. Due to mentioned complexity, truly predictive models of friction are yet to be developed. As a result of […]