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http://dx.doi.org/10.9725/kts.2020.36.4.193

Lubrication Analysis of Infinite Width Slider Bearing with a Micro-Groove: Part 3 - Effect of Groove Shape  

Park, TaeJo (School of Mechanical Engineering, ERI, Gyeongsang National University)
Jang, InGyu (Graduate School, School of Mechanical & Aerospace Eng., Gyeongsang National University)
Publication Information
Tribology and Lubricants / v.36, no.4, 2020 , pp. 193-198 More about this Journal
Abstract
Fluid film bearings are among the best devices used for overcoming friction and reducing wear. Surface texturing is a new surface treatment technique used for processing grooves and dimples on the lubricated surface, and it helps to minimize friction further and improve the wear resistance. In several studies, parallel surfaces, such as thrust bearings and mechanical face seals, have been investigated, but most sliding bearings have a convergent film shape. This paper presents the third part of a recent study and focuses on the effect of the groove shape on the lubrication performance of inclined slider bearings, following the two previous papers on the effects of the groove position and depth. We adopted the continuity and Navier - Stokes equations to conduct numerical analyses using FLUENT, which is a commercial computational fluid dynamics code. The groove shape adopted in the numerical analysis is rectangular and triangular, and its depth is varied. The results show that the streamlines, pressure distributions, and groove shape significantly influence the lubrication performance of the inclined slider bearing. For both shapes, the load-carrying capacity (LCC) is maximum near the groove depth, where vortices occur. In the shallow grooves, the LCC of the rectangular shape is higher, but in deeper grooves, that of the triangular shape is higher. The deeper the rectangular groove, the higher the decrease in the frictional force. The results of this study can be used as design data for various sliding bearings.
Keywords
slider bearing; surface texturing; hydrodynamic lubrication; computational fluid dynamics(CFD); numerical analysis;
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Times Cited By KSCI : 4  (Citation Analysis)
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