Simulation of sliding wear in mixed lubrication

Dong Zhu*, Ashlie Martini, Wenzhong Wang, Yuanzhong Hu, Bohdan Lisowsky, Q Jane Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

Sliding wear is a significant surface failure mode in many mechanical components. The magnitude of changes in surface topography due to wear may be comparable to or larger than the original surface roughness and elastic deformation. However, wear has rarely been incorporated into the numerical models used as predictive tools in engineering practice. This paper presents a numerical approach to simulate the wear process based on the deterministic mixed elastohydrodynamic lubrication (EHL) model developed and modified by Zhu and Hu (2001, Tribol. Trans., 44, pp. 383-398). It is assumed that wear takes place at locations where the surfaces are in direct contact, and the wear rate at those local contact spots is proportional to the relative sliding speed, the local contact pressure, and inversely proportional to the hardness of the surface. At each simulation cycle, the distributions of lubricant film thickness and contact pressure are calculated by using the mixed EHL model. The material removal at each contact location is evaluated and the surface topography modified correspondingly. The renewed surface topography is then used for the next cycle. The model is formulated such that any mathematically expressed wear law can be implemented, and therefore, the simulation can be applied to a wide variety of engineering applications.

Original languageEnglish (US)
Pages (from-to)544-552
Number of pages9
JournalJournal of Tribology
Volume129
Issue number3
DOIs
StatePublished - Jul 1 2007

Keywords

  • Mixed EHL simulation
  • Sliding wear

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Surfaces and Interfaces
  • Surfaces, Coatings and Films

Fingerprint

Dive into the research topics of 'Simulation of sliding wear in mixed lubrication'. Together they form a unique fingerprint.

Cite this