Modeling Surface Texturing in Mixed Lubrication for Tribological Enhancement

Tribological interfaces are plagued by premature failures due to the onset of high friction and wear, resulting in deterioration of performance. This project aims to reduce both coefficient of friction and wear by constructing micro-scale features on the tribosurfaces. Particle augmented mixed lubrication framework is used to model the effect of these micro-textures, and resulting reduction in friction and material removal from the tribosurface is estimated. This generalized approach can then be implemented for specific tribosystems. As an illustration, modeling for the pin-on-disk setup is shown here.
PFTL Research Assistant(s):   Gagan Srivastava, Patrick Dougherty
Method(s) Employed:   Mixed Lubrication Modeling, bio-mechanical modeling
Rig(s) and/or Software(s) Employed:   MATLAB, Mathematica, Paraview, QtiPlot
Sponsor(s):   Philip and Marsha Dowd Seed Fund

Sample Results:

disk pins




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