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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis

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Abstract

The present study is divided in two parts. In the first one the complete elasto-plastic microcontact model of anisotropic rough surfaces is given. Rough surfaces are modelled as a random process in which the height of the surface is considered to be a two-dimensional random variable. It is assumed that the surface is statistically homogeneous. The description of anisotropic random surfaces is concentrated on strongly rough surfaces; for such surfaces the summits are represented by highly eccentric elliptic paraboloids. The model is based on the volume conservation of asperities with the plasticity index modified to suit more general geometric contact shapes during plastic deformation process. This model is utilized to determine the total contact area, contact load and contact stiffness which are a combination of the elastic, elasto-plastic and plastic components. The elastic and elasto-plastic stiffness coefficients decrease with increasing variance of the surface height about the mean plane. The standard deviation of slopes and standard deviation of curvatures have no observable effects on the normal contact stiffness. The part two deals with the solution of the fully three-dimensional contact/friction problem taking into account contact stiffnesses in the normal and tangential directions. An incremental non-associated hardening friction law model analogous to the classical theory of plasticity is used. Two numerical examples are selected to show applicability of the method proposed.

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  1. Division of Computer Methods, Maritime University of Szczecin, H. Poboznego 11, 70-507, Szczecin, Poland

    Ryszard Buczkowski

  2. Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawinskiego 5B, 02-106, Warsaw, Poland

    Michal Kleiber

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  1. Ryszard Buczkowski
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Buczkowski, R., Kleiber, M. Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis. Arch Computat Methods Eng 16, 399–424 (2009). https://doi.org/10.1007/s11831-009-9037-2

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