Prediction of Sliding Wear Rate of Extruded Al–SiC Composite using Artificial Neural Networks

Faculty Engineering Year: 2011
Type of Publication: ZU Hosted Pages: 223-234
Authors:
Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni
Journal: Fifth Assiut University International Conference on Mechanical Engineering Advanced Technology for Industrial Production (MEATIP5) Assiut University - Faculty of Engineering Volume:
Keywords : Prediction , Sliding Wear Rate , Extruded Al–SiC    
Abstract:
This paper presents an artificial neural network (ANN) model for predicting the sliding wear rate of Al–SiC composites which prepared by using powder metallurgy technique followed by extrusion at various extrusion ratios. The input param
    
     
 
       

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