Acoustic characterization and prediction of surface roughness

摘要

The present paper deals with a new methodology for predicting surface roughness of engineering surfaces. A contactor has been rubbed against a surface, and the friction noise thus generated is related with the roughness of the surface. The amplitude of friction noise and the magnitude of contact force have been utilized to train a back propagation neural network for future prediction. It has been observed that the neural network can learn the con-elation between the friction noise, contact force and the surface roughness and could effectively be used in practical applications to predict surface roughness.