Abstract
Gear whine is a major source of unwanted noise in automotive applications. It is tonal in nature which makes it more apparent to the human ear than other stochastic noise mechanisms.
Prediction of gear whine behavior in automatic transmissions is a particularly complex problem where the conventional FEA approach precludes the rapid assessment of 'what if?' scenarios due to the slow model buidling and solution times .This paper will present an alternative approach, which is a fully parametric functionality-based model, including the effects of and interactions between all components in the transmission. It will be shown how the transmission error in all gear pairs can be predicted and how this can be used to excite the transmission model dynamically to predict the vibration response in any part of the system, including the housing.
Examples will be given to demonstrate the ability of this approach to rapidly investigate the system-wide effects of variation in parameters such as bearing pre-load and casing-bearing bore positional tolerance.
