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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Abstract
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: | http://eprints.nmlindia.org/6379 |
| 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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