Prediction of rattle noise in steering gear system and analysis of contributing factors through neural networks using design and manufacturing data

Abstract

In a vehicle, rattle noise may occur when driving on bumpy roads due to clearance between parts of steering gear systems. The rattle noise is perceived by the drivers' ears and it can be the cause of a repair campaign. In order to reduce rattle noise, the dimensions of clearance between parts are optimally designed. Also, in the development stage, general auto parts companies manage rattle noise below a certain level. However, it is impossible to measure noise for all products at the production stage due to cost and time issues. In this paper, the noise prediction model using the neural network model for all products based on design factors and the data of manufacturing execution system was introduced. In addition, the main factors contributing to rattle noise were analyzed in the process of creating the model. By referring to the main factors contributing to noise, it helps in the design of the steering gear to reduce the rattle noise value.