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Mechanical Integrity of 3D Rough Surfaces during Contact

Article dans une revue avec comité de lecture
Author
BIGERELLE, Maxence
2175 Roberval [Roberval]
175453 Arts et Métiers ParisTech
211915 Mechanics surfaces and materials processing [MSMP]
1303 Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
PLOURABOUE, Franck
690 Institut de mécanique des fluides de Toulouse [IMFT]
441569 Centre National de la Recherche Scientifique [CNRS]
ROBACHE, Frederic
1303 Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
JOURANI, Abdeljalil
2175 Roberval [Roberval]
FABRE, Agnès
211915 Mechanics surfaces and materials processing [MSMP]

URI
http://hdl.handle.net/10985/17974
DOI
10.3390/coatings10010015
Date
2019
Journal
Coatings

Abstract

Rough surfaces are in contact locally by the peaks of roughness. At this local scale, the pressure of contact can be sharply superior to the macroscopic pressure. If the roughness is assumed to be a random morphology, a well-established observation in many practical cases, mechanical indicators built from the contact zone are then also random variables. Consequently, the probability density function (PDF) of any mechanical random variable obviously depends upon the morphological structure of the surface. The contact pressure PDF, or the probability of damage of this surface can be determined for example when plastic deformation occurs. In this study, the contact pressure PDF is modeled using a particular probability density function, the generalized Lambda distributions (GLD). The GLD are generic and polymorphic. They approach a large number of known distributions (Weibull, Normal, and Lognormal). The later were successfully used to model damage in materials. A semi-analytical model of elastic contact which takes into account the morphology of real surfaces is used to compute the contact pressure. In a first step, surfaces are simulated by Weierstrass functions which have been previously used to model a wide range of surfaces met in tribology. The Lambda distributions adequacy is qualified to model contact pressure. Using these functions, a statistical analysis allows us to extract the probability density of the maximal pressure. It turns out that this density can be described by a GLD. It is then possible to determine the probability that the contact pressure generates plastic deformation.

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