Property prediction of ductile iron : Artificial neural network approach

Behera, R K and Swain, S K and Sen, S and Mishra, S C (2012) Property prediction of ductile iron : Artificial neural network approach. Journal of Metallurgy and Materials Science,, 54(3) . pp. 197-202.

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Mechanical properties of ductile cast iron (DI) depend on its microstructure, which is influenced by addition of alloying elements. Artificial Neural Network (ANN) tech- nique developed using back propagation algorithm was employed to predict the tensile strength (UTS) & 0.2% yield strength (YS). Effect of Carbon Equivalent (%CE) and Mg wt% on UTS and 0.2%YS on 3mm & 12mm sections are studied. Comparison between predicted and experimental value shows good correlation with acceptable percentage of error.

Item Type:Article
Official URL/DOI:
Uncontrolled Keywords:Ductile iron, Artificial neural network and Mechanical properties.
Divisions:Material Science and Technology
ID Code:6379
Deposited By:Dr. A K Sahu
Deposited On:12 Feb 2013 14:47
Last Modified:05 Jun 2013 12:24
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