Artificial neural networks for predicting sliding friction and wear properties of polyphenylene sulfide composites

► Artificial neural network (ANN) was applied for modeling sliding friction and wear. ► Experimental data from polyphenylene sulfide composites were used to train the ANN. ► The trained ANN predicted the friction and wear properties with very good accuracy. ► The trained ANN correctly evaluated the impact of filler content on friction and wear.