2022
DOI: 10.3390/lubricants10090200
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Analysis of a Low-Loss Gear Geometry Using a Thermal Elastohydrodynamic Simulation including Mixed Lubrication

Abstract: Low-loss gears are an interesting design approach for increasing the efficiency and thermal load limits of gearboxes. The loss-optimized gear geometry concentrates sliding around the pitch point, which results in low load-dependent gear power losses. In this study, a method for modeling transient EHL (elastohydrodynamically lubricated) contacts in gear mesh considering mixed lubrication and thermal effects is introduced and applied to analyze the tribological behavior of a low-loss gear geometry. Special focus… Show more

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Cited by 8 publications
(4 citation statements)
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“…A helical gear setup as described in ref. [16] would be a better option for emulating the reduction gear operation, but unfortunately it was not available. To evaluate the effect of mechanochemical surface finishing, one set of gears was additionally processed applying the Triboconditioning ® CG method.…”
Section: Methodsmentioning
confidence: 99%
“…A helical gear setup as described in ref. [16] would be a better option for emulating the reduction gear operation, but unfortunately it was not available. To evaluate the effect of mechanochemical surface finishing, one set of gears was additionally processed applying the Triboconditioning ® CG method.…”
Section: Methodsmentioning
confidence: 99%
“…In this way, in each time step, the contact area in the X-and Y-direction is within ∼ (−1.0, 1.0). A similar strategy was applied in [18].…”
Section: Dimensionless Formulationmentioning
confidence: 99%
“…The EHL model with all relevant physics is implemented in a commercial multiphysics software and solved based on the finite element method in a full system approach according to Habchi (2018). For modeling the lubricant properties, the formulated models and the corresponding oil data and parameters are adopted from Farrenkopf et al (2022). For description of the temperature dependency of the viscosity, a model according to Vogel (1921), Fulcher (1925) and Tammann and Hesse (1926) is used.…”
Section: Numerical Modelingmentioning
confidence: 99%