2020
DOI: 10.3390/pr8101223
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Analysis of Oil-Air Two-Phase Flow Characteristics inside a Ball Bearing with Under-Race Lubrication

Abstract: Under-race lubrication can increase the amount of lubricating oil entering a bearing and greatly improve lubrication and cooling effects. The oil-air two-phase flow characteristics inside a ball bearing with under-race lubrication play a key role in lubrication and cooling performance. The motions of ball bearing subassemblies are complicated. Ball spin affects the oil volume fraction. In this paper, the coupled level set volume of fluid (CLSVOF) method is used to track the oil-air two-phase flow inside the ba… Show more

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Cited by 10 publications
(10 citation statements)
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“…The boundary conditions are set based on the author’s previous study (Bao et al , 2020). Furthermore, the multiple reference frames method is used to reflect the rotation speed of the fluid domain, and all bodies are combined into one part to complete the data transmission at the interfaces.…”
Section: Methodsmentioning
confidence: 99%
“…The boundary conditions are set based on the author’s previous study (Bao et al , 2020). Furthermore, the multiple reference frames method is used to reflect the rotation speed of the fluid domain, and all bodies are combined into one part to complete the data transmission at the interfaces.…”
Section: Methodsmentioning
confidence: 99%
“…The previously established computational domain for studying the oil-air flow behavior inside bearing with under-race lubrication starts from the position of the inner race feed holes of the bearing. 1,6,23…”
Section: Analysis Of Under-race Lubricationmentioning
confidence: 99%
“…This assumption is the standard practice for studying the characteristics of the oil-air two-phase flow inside the bearing. 1,6,[14][15][16][17][18][19][20][21][22][23] With these assumptions, the rheology of the lubricant oil and the surface elastic deformation of the elements can be neglected. The EHL film is commonly calculated by special tools, which is not the focus of this study.…”
Section: Computational Domain and Meshmentioning
confidence: 99%
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