Exploration on a Fast EHL Computing Technology for Analyzing Journal Bearings with Engineered Surface Textures

Chia Wen Chan, Yan Feng Han, Zhanjiang Wang, Jiaxu Wang, Fanghui Shi, Nenzi Wang, Q. Jane Wang

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Solving elastohydrodynamic lubrication (EHL) problems is a complex and time-consuming process due to the interactive solutions of the Reynolds equation and contact elasticity. Analyzing journal bearing EHL problems is even more difficult due to the scale difference in the structural and surface features, which may span four orders of magnitude. This article presents a fast EHL computing technology utilizing a parallel numerical iterative method (the red-black successive overrelaxation method) and multithreaded computing scheme conducted by OpenMP directives. The fast computational approaches allow the construction of high-density EHL meshes for effective descriptions of important texture features of journal bearing surfaces.

Original languageEnglish (US)
Pages (from-to)206-215
Number of pages10
JournalTribology Transactions
Volume57
Issue number2
DOIs
StatePublished - Mar 2014

Keywords

  • Elastohydrodynamic Lubrication
  • Journal Bearing
  • OpenMP
  • Parallel Computing
  • Surface Textures

ASJC Scopus subject areas

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

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