The developers of innovative automotive active systems have recently stimulated new interest toward the analysis of the frictional behaviour of brake and clutch facings. This paper presents the experimental results acquired with a laboratory setup on brake and clutch facing samples in sliding motion for different operating conditions. An artificial neural network has been used to obtain a comprehensive view of the influence of the main sliding parameters. The study has also taken into account the not weak influence of the sliding acceleration to improve the friction coefficient prediction during transient operations of these dry friction based devices.
EXPERIMENTAL INVESTIGATION AND NEURAL NETWORK PREDICTION OF BRAKES AND CLUTCH MATERIAL FRICTIONAL BEHAVIOUR CONSIDERING THE SLIDING ACCELERATION INFLUENCE
SENATORE, ADOLFO;D'AGOSTINO, Vincenzo;DI GIUDA, ROBERTA;PETRONE, VINCENZO
2011-01-01
Abstract
The developers of innovative automotive active systems have recently stimulated new interest toward the analysis of the frictional behaviour of brake and clutch facings. This paper presents the experimental results acquired with a laboratory setup on brake and clutch facing samples in sliding motion for different operating conditions. An artificial neural network has been used to obtain a comprehensive view of the influence of the main sliding parameters. The study has also taken into account the not weak influence of the sliding acceleration to improve the friction coefficient prediction during transient operations of these dry friction based devices.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
