Abstract

In this study, the Charpy impact energies of ferritic and austenitic functionally graded steels produced by electroslag remelting have been modeled in crack divider configuration by predicting Vickers microhardness profiles of the specimens with adaptive network-based fuzzy inference systems. To produce functionally graded steels, two slices of plain carbon and austenitic stainless steels were spot-welded and used as electroslag remelting electrode. Functionally graded steel containing graded layers of ferrite and austenite may be fabricated via diffusion of alloying elements during remelting stage. To build the model for graded ferritic and austenitic steels, training, testing, and validation using, respectively, 174 and 120 experimental data were conducted. It was found that the data are valid within the range of examined data. A good fit equation which correlates the Vickers microhardness of each layer to its corresponding chemical composition was achieved by the optimized network for both ferritic and...

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