Modeling of normal and tangential contact stiffness of rough surfaces

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is well recognized that the contact stiffness is one of the key features in the study of friction system behavior. The stiffness of a rough surface influences the contact state as well as the behavior of the surrounding system. It is the goal of this work to investigate the elastic deformation of surface asperities and propose mathematical model in treating its influence. The mathematical model of contact is utilized to develop formulae for normal and tangential contact stiffness. Stiffness values for the sample are derived from the surface profile data taken from a 1.0-mm by 10-mm test area. The profile is measured using a Mahr profilometer. A computer program is developed and used to analyze the profile data to yield the asperity density, average asperity radius, and the standard deviation for each test area. Examining the results show that both normal and tangential contact stiffness decrease exponentially with normalized separation. As the normalized separation increases both normal and tangential stiffness become very small and insensitive for the high normalized separation.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Modelling, Simulation, and Optimization
Pages91-96
Number of pages6
Volume2005
Publication statusPublished - 2005
Event5th IASTED International Conference on Modelling, Simulation, and Optimization - Oranjestad, Aruba
Duration: Aug 29 2005Aug 31 2005

Other

Other5th IASTED International Conference on Modelling, Simulation, and Optimization
CountryAruba
CityOranjestad
Period8/29/058/31/05

Keywords

  • Contact model
  • Contact stiffness

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Abdo, J. (2005). Modeling of normal and tangential contact stiffness of rough surfaces. In Proceedings of the IASTED International Conference on Modelling, Simulation, and Optimization (Vol. 2005, pp. 91-96)