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http://hdl.handle.net/2080/2156
Title: | Property Prediction of Ductile Iron (DI): Artificial Neural Network Approach |
Authors: | Behera, R K Swain, S K Sen, S Mishra, S C |
Keywords: | Property Prediction Ductile Iron |
Issue Date: | Aug-2013 |
Publisher: | Orissa Journal of Physics |
Citation: | Orissa Journal of Physics, Vol. 20, No.2 , August 2013, pp.217-224 |
Abstract: | Mechanical properties of ductile cast iron (DI) depend on its microstructure,which is influenced by addition of alloying elements. Artificial Neural Network (ANN)technique with multilayer back propagation algorithm is used as a predictive tool for predicting UTS & 0.2%YS of ductile iron with respect to variation in wt% of alloying elements. 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. |
Description: | Copyright for this article belongs Orissa Physical Society |
URI: | http://hdl.handle.net/2080/2156 |
ISSN: | 0974-8202 |
Appears in Collections: | Journal Articles |
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R_K_Behera.pdf | 277.48 kB | Adobe PDF | View/Open |
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