Prediction of abrasive wear rate of in situ Cu–Al2O3 nanocomposite using artificial neural networks

Faculty Engineering Year: 2011
Type of Publication: ZU Hosted Pages:
Authors:
Adel Fathy Meselhy Ibrahiem
Journal: Int J Adv Manuf Technol Springer-Verlag London Limited Volume:
Keywords : Prediction , abrasive wear rate , , situ Cu–Al2O3 nanocomposite    
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
    
     
 
       

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