Prediction of Brake Friction Materials Speed Sensitivity University of Belgrade

Format:

Conference/Event

Author/Creator:

Aleksendrić, Dragan, author.

Conference Name:

SAE 2009 Brake Colloquium and Exhibition (2009-10-11 : Tampa, Florida, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2009-01-3008

Access Restriction:

Restricted for use by site license