Professional paper

https://doi.org/10.21278/TOF.40407

Numerical Predictions of the Mechanical Properties of A356-SiC Composites Fabricated by Powder Metallurgy

Amal E. Nassar orcid.org/0000-0002-4686-8134 ; Department of Mechanical Engineering, Higher Technological Institute, Tenth of Ramadan City, Egypt
Eman E. Nassar orcid.org/0000-0001-8083-6980 ; Department of Mechanical Engineering, Higher Technological Institute, Tenth of Ramadan City, Egypt

Abstract

Pure aluminum nanocomposite reinforced with silicon carbide was produced by powder metallurgy process. The mechanical behavior of this composite was modelled and experi-mentally investigated. Measurements of density, tensile properties, and hardness showed that the tensile strength and the porosity of composites increased with an increase in the amount of nanoparticles; however, aluminum ductility decreased. On the other hand, the elongation per-centage remains constant with an increase in the percentage of nanoparticles. Wear resistance of composite samples was higher than that of aluminium alloy. In the current research, a technique based on Artificial Neural Network (ANN) and Finite Element Method (FEM) was applied for the prediction of mechanical properties. It was observed that prediction results obtained in this study are consistent with the real measurements performed on composites.

Keywords

nano SiC; finite element method; artificial neural network

Hrčak ID:

174730

URI

https://hrcak.srce.hr/174730

Publication date:

21.2.2017.

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