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

Authors

  • 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

DOI:

https://doi.org/10.29081/jesr.v25i1.37

Keywords:

Aluminium composite, chromium dopants, tensile strength, hardness, percentage elongation, sand casting

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.

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Published

2019-03-14

Issue

Vol. 25 No. 1 (2019): Journal of Engineering Studies and Research

Section

Articles

How to Cite

ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY. (2019). Journal of Engineering Studies and Research, 25(1), 16-24. https://doi.org/10.29081/jesr.v25i1.37