Prediction of density, porosity and hardness in aluminum–copper-based composite materials using artificial neural network

Aluminium matrix composites: Challenges and opportunities

M.K. Surappa · Sadhana · 2003 · 1.2K citations

Natural Sciences, Materials Engineering, Materials Science +12

The use of neural networks for the prediction of fatigue lives of composite materials

J.A Lee, D. P. Almond, B. Harris · Composites Part A Applied Science and Manufacturing · 1999 · 174 citations

Natural Sciences, Materials Engineering, Materials Science +16

Artificial neural networks in spectrum fatigue life prediction of composite materials

Anastasios P. Vassilopoulos, Efstratios F. Georgopoulos, Vasileios Dionysopoulos · International Journal of Fatigue · 2006 · 168 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +16

Prediction on tribological properties of short fibre composites using artificial neural networks

Z. Zhang, K. Friedrich, Kai Velten · Wear · 2002 · 163 citations

Natural Sciences, Materials Engineering, Materials Science +16

Effects of casting temperature on the microstructure and wear resistance of compocast A356/SiCp composites: a comparison between SS and SL routes

Farshad Akhlaghi, A. Lajevardi, H.M. Maghanaki · Journal of Materials Processing Technology · 2004 · 138 citations

Natural Sciences, Materials Engineering, Materials Science +16