Numerical Predictions Of The Mechanical Properties Of A356...

Amal E. Nassar 1 Eman E.Nassar1 ISSN 1333-11243 eISSN 1849-1391 NUMERICAL PREDICTIONS OF THE MECHANICAL PROPERTIES OF A356-SiC COMPOSITES FABRICATED BY POWDER METALLURGY Summary Pure aluminum nanocomposite reinforced with silicon carbide was produced by powder metallurgy route. Modeling investigations and mechanical experiments were carried out on the mechanical Behviour. of this nanocomposites .Measurements of density, tensile properties and hardness showed that the tensile strength and the porosity of composites increased with the increasing in the amount of the nanoparticles; however, aluminum ductility was decreased. On the other hand, the elongation percentage keeps constant with the increasing in the percentage of the nanoparticles. Wear resistance increased in the composite samples comparing to alloy. In the current research, a technique based on Artificial Neural Network (ANN) and Finite Element Method (FEM) was implemented to predict mechanical properties. It was observed that prediction results in this study are consistent with the real measurements for composites. keywords: nano SiC, finite element method, artificial neural network. NOMENCLATURE (Optional Section) Subscripts ANN Artificial Neural Network FEM Finite Element Method LMA Levenberg Marquardt Algorithm Vol% Volume Fraction Ep (w) The error in network of the pattern JP(w) The Jacobian matrix for vector error AMC Aluminium Metal Composite MLP