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
    
     
 
       

Author Related Publications

  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "On the Prediction of Surface Roughness in Turning Operation using Artificial Neural Networks", Cairo University, 2000 More
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Experimental Evaluation of Delamination in Drilling of Fiber Reinforced Polymeric Composite Materials", كلية الهندسة - جامعة الزقازيق, 2009 More
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Prediction of Delamination Size in Drilling FRP Composite Materials using Artificial Neural Networks", كلية الهندسة - جامعة الزقازيق, 2009 More
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Ultrasonic Mixing of Nanoparticles in Epoxy Resin", Housing & Building National Research Center, 2010 More
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Machinability Analysis in Drilling Woven GFR/Epoxy Composites: Part I- Effect of Machining Parameters", Elsevier Ltd., 2010 More

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