ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY

  • EYERE EMAGBETERE
    Department of Mechanical Engineering, Federal University of Petroleum Resources, P.M.B 1221, Effurun, Nigeria
  • OGHENEKOWHO PETER ARUOTURE
    Department of Mechanical Engineering, Federal University of Petroleum Resources, P.M.B 1221, Effurun, Nigeria
  • FESTUS IFEANYI ASHIEDU
    Department of Mechanical Engineering, Federal University of Petroleum Resources, P.M.B 1221, Effurun, Nigeria

Abstract

Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical properties duralumin (Al-4 %Cu). The results showed that the hardness, yield strength, and ultimate tensile strength increased, while the energy absorbed and percentage elongation decreased, with increasing %wt of Chromium dopants. Simulation results of ANN show strong agreement with experimental values, having satisfactory R-values of Mean Square Error. ANN can suitably be used to predict the mechanical properties of Al-4%Cu doped with Chromium.

Cuvinte cheie

Aluminium composite chromium dopants tensile strength hardness percentage elongation sand casting