Litcius/Paper detail

Investigation of Oil–Air Flow and Temperature for High-Speed Ball Bearings by Combining Nonlinear Dynamic and Computational Fluid Dynamics Models

Song Deng, Guiqiang Zhao, Dongsheng Qian, Shaofeng Jiang, Lin Hua

2021Journal of Tribology29 citationsDOI

Abstract

Abstract An improved nonlinear dynamic model of high-speed ball bearings with elastohydrodynamic lubrication is adopted to predict the movements of balls and power loss of ball bearings for defining the boundary conditions of a computational fluid dynamics (CFD) model. Then, this method of combining nonlinear dynamic and CFD models is validated through the experimental verification. Subsequently, oil–air flow and temperature distribution inside the bearing chamber are studied at low and high speeds and light and heavy loads. The effect of nozzle’s position on the formation of oil film and heat dissipation is revealed under combined loads. The research results provide a theoretical basis for engineering application of high-speed rolling bearings.

Topics & Concepts

Computational fluid dynamicsMechanicsNonlinear systemLubricationNozzleBall bearingFluid bearingMaterials scienceAirflowMechanical engineeringFluid dynamicsBearing (navigation)EngineeringComputer sciencePhysicsArtificial intelligenceQuantum mechanicsGear and Bearing Dynamics AnalysisTribology and Lubrication EngineeringAdhesion, Friction, and Surface Interactions