Prediction of Delamination Size in Drilling FRP Composite Materials using Artificial Neural Networks

Faculty Engineering Year: 2009
Type of Publication: ZU Hosted Pages: 53-60
Authors:
Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni
Journal: Egyptian International Journal of Engineering Sciences and Technology كلية الهندسة - جامعة الزقازيق Volume: 12
Keywords : Prediction , Delamination Size , Drilling , Composite Materials    
Abstract:
Delamination is a well-recognized problem associated with drilling fiber reinforced polymeric (FRP) composite materials. The most noted problems occur as the drill enters and exits the material. A method based on the artificial neural netwo
    
     
 
       

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, "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
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Machinability Analysis in Drilling Woven GFR/Epoxy Composites: Part II- Effect of Drill Wear", Elsevier Publication., 2010 More

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