Prediction of Brake Friction Materials Speed Sensitivity

2009-01-3008

10/11/2009

Event
SAE 2009 Brake Colloquium and Exhibition
Authors Abstract
Content
Prediction of the brake friction material performance versus changes of its composition, manufacturing, and operation conditions is considered as an important step in the friction materials development. Due to complex synergy effects of these influencing factors on the friction coefficient stability, an analytical model of the brake friction materials performance is difficult to obtain. That is why in this paper artificial neural networks have been used for modelling and predicting the effects of these influencing factors on the brake friction materials speed sensitivity. A two hidden-layer neural network model, trained by the Bayesian Regulation algorithm, has been developed with inherent abilities to generalize the complex influences on the speed sensitivity performance of the brake friction materials.
Meta TagsDetails
DOI
https://doi.org/10.4271/2009-01-3008
Pages
6
Citation
Aleksendrić, D., "Prediction of Brake Friction Materials Speed Sensitivity," SAE Technical Paper 2009-01-3008, 2009, https://doi.org/10.4271/2009-01-3008.
Additional Details
Publisher
Published
Oct 11, 2009
Product Code
2009-01-3008
Content Type
Technical Paper
Language
English