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

Polymer composites: from nano- to macro-scale

Choice Reviews Online · 2006 · 282 citations

Natural Sciences, Materials Engineering, Materials Science +17

Prediction on wear properties of polymer composites with artificial neural networks

Zhenyu Jiang, Zhong Zhang, K. Friedrich · Composites Science and Technology · 2006 · 168 citations

Natural Sciences, Materials Engineering, Materials Science +16

Wear volume prediction with artificial neural networks

Kai Velten, R. Reinicke, K. Friedrich · Tribology International · 2000 · 149 citations

Computing, Computer Science, Materials Engineering +14

Application of artificial neural network for predicting strain-life fatigue properties of steels on the basis of tensile tests

Kenan Genel · International Journal of Fatigue · 2004 · 108 citations

Natural Sciences, Materials Engineering, Materials Science +16

Tribological behavior of selected engineering polymers under rolling contact

M. Harrass, K. Friedrich, Abdulhakim A. Almajid · Tribology International · 2009 · 104 citations

Engineering, Materials Engineering, Materials Science +14