Prediction of Abrasive Wear Rate of in Situ Cu–Al2O3 Nanocomposite using Artificial Neural Networks

Faculty Engineering Year: 2012
Type of Publication: ZU Hosted Pages: 953-963
Authors:
Journal: The International Journal of Advanced Manufacturing Technology SpringerLink publications Volume: 62
Keywords : Prediction , Abrasive Wear Rate , , Situ Cu–Al2O3    
Abstract:
In this work, artificial neural networks (ANNs) technique was used in the prediction of abrasive wear rate of Cu–Al2O3 nanocomposite materials. The abrasive wear rates obtained from series of wear tests were used in the formation of the da
   
     
 
       

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  • Ashraf Abdelfattah Ali Hassanein, "Wear Characteristics of Exfoliated Graphite Nano Sheets/Copper Metal Matrix Composite", the Sixth International Scientific Conference, Scientific Bulletins of Rzeszów University of Technology No 253, Poland, June 2008; 253: 19-26., 2008 More
  • Ahmed Wagih Abdallah Abdelhady Deebes, "Effect of Mechanical Milling on the Morphologyand Structural Evaluation ofAl- Al2O3 Nanocomposite Powders", International Journal of Engineering, 2014 More
  • Mohammed Abdelmoniem Mohamed Eltaher , "Modeling of viscoelastic contact-impact problems", journal homepage: www.elsevier.com/locate/apm, 2009 More
  • Adel Fathy Meselhy Ibrahiem, "Effect of SomeManfacturing Parameters onMachining of Extruded Al-Al2O3 Composites", International Scholarly Research Network, 2012 More
  • Alaa Ahmed Abd elrahman , "Modeling of nonlinear viscoelastic contact problems with large deformations", Elsevier, 2013 More
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