Efficiency and Durability Predictions of High Performance Racing Transmissions

Event
9th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference
Authors Abstract
Content
Efficiency and durability are key areas of research and development in modern racing drivetrains. Stringent regulations necessitate the need for components capable of operating under highly loaded conditions whilst being efficient and reliable. Downsizing, increasing the power-to-weight ratio and modification of gear teeth geometry to reduce friction are some of the actions undertaken to achieve these objectives. These approaches can however result in reduced structural integrity and component durability. Achieving a balance between system reliability and optimal efficiency requires detailed integrated multidisciplinary analyses, with the consideration of system dynamics, contact mechanics/tribology and stress analysis/structural integrity.
This paper presents an analytical model to predict quasi-static contact power losses in lubricated spur gear sets operating under the Elastohydrodynamic regime of lubrication. Tooth Contact Analysis (TCA) is used to predict variations in contact loads, local surface curvature and rolling and sliding velocities. This is combined with an extrapolated oil film thickness formula available in literature, to predict instantaneous lubricant film thickness and sub-surface stresses. Subsequently, viscous and boundary friction are estimated, enabling calculation of power losses.
The presented methodology has been used to investigate the effects of parabolic tip relief on power loss and induced sub-surface stresses. The results of this investigation are also presented.
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DOI
https://doi.org/10.4271/2016-01-1852
Pages
8
Citation
Fatourehchi, E., Elisaus, V., Mohammadpour, M., Theodossiades, S. et al., "Efficiency and Durability Predictions of High Performance Racing Transmissions," SAE Int. J. Passeng. Cars - Mech. Syst. 9(3):1117-1124, 2016, https://doi.org/10.4271/2016-01-1852.
Additional Details
Publisher
Published
Jun 15, 2016
Product Code
2016-01-1852
Content Type
Journal Article
Language
English