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http://dx.doi.org/10.9725/kts.2022.38.5.191

Lubrication Analysis of Surface-Textured Inclined Slider Bearing with Rectangular Dimples  

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.38, no.5, 2022 , pp. 191-198 More about this Journal
Abstract
With the world's fast expanding energy usage comes a slew of new issues. Because one-third of energy is lost in overcoming friction, tremendous effort is being directed into minimizing friction. Surface texturing is the latest surface treatment technology that uses grooves and dimples on the friction surface of the machine to significantly reduce friction and improve wear resistance. Despite the fact that many studies on this issue have been conducted, most of them focused on parallel surfaces, with relatively few cases of converging films, as in most sliding bearings. This study investigated the lubrication performance of surface-textured inclined slider bearings. We analyzed the continuity and Navier-Stokes equations using a commercial computational fluid dynamics code, FLUENT. The results show the pressure and velocity distributions and the lubrication performance according to the number and orientation of rectangular dimples. Partial texturing somewhat improves the lubrication performance of inclined slider bearings. The number of dimples with the maximum load-carrying capacity (LCC) and minimum friction is determined. When the major axis of the dimple is arranged in the sliding direction, the LCC and friction reduction are maximized. However, full texturing significantly reduces the LCC of the slider bearing and increases the flow rate. The results have the potential to improve the lubrication performance of various sliding bearings, but further research is required.
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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