Effects of Shaft Axial Motion and Misalignment on the Lubrication Performance of Journal Bearings Via a Fast Mixed EHL Computing Technology

Yanfeng Han, Chiawen Chan, Zhanjiang Wang, Fanghui Shi, Jiaxu Wang, Nenzi Wang, Q. Jane Wang

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

A mixed elastohydrodrynamic (EHL) model for journal bearings considering an axial flow due to shaft axial motion and misalignment is developed for lubrication performance evaluation. A new, faster mixed EHL computing technology utilizing the odd–even successive overrelaxation (OESOR) parallel numerical iterative method is proposed based on the red–black successive overrelaxation (RBSOR) method to minimize the execution time prolonged by the complexity caused by the axial flow and misalignments. The multithreaded computing scheme conducted by the OpenMP directive using different meshes and threads suggests that the OESOR method exhibits better efficiency. A series of transient analyses was conducted to solve the mixed EHL model with the parallel OESOR method. The results show that the axial flow and misalignments significantly affect the average pressure, hydrodynamic and asperity contact pressure, elastic deformation, and other characteristics of the journal bearings.

Original languageEnglish (US)
Pages (from-to)247-259
Number of pages13
JournalTribology Transactions
Volume58
Issue number2
DOIs
StatePublished - Mar 4 2015

Keywords

  • Axial Motion
  • Journal Bearings
  • Misalignments
  • Mixed EHL
  • Parallel Computing

ASJC Scopus subject areas

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

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