Predicting Behavior of Plasma Nitrided Ni+Al Composite Coating Using an Artificial Neural Network Model

Abstract:

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Plasma nitriding is a powerful process for surface modification of different materials. In this study, plasma nitriding is applied on a Nickel-Aluminum composite, coated on ST37 steel. Ni+Al composites were fabricated by electrodeposition process in watts bath containing Al particles. For prediction of electrodeposited Al% during the electroplating and microhardness of coatings after plasma nitriding process artificial neural network (ANN) was used. The numerical results obtained via a neural network model were compared with the experimental results. Agreement between the experimental and numerical results was reasonably good.

Info:

Periodical:

Defect and Diffusion Forum (Volumes 297-301)

Edited by:

Andreas Öchsner, Graeme E. Murch, Ali Shokuhfar and João M.P.Q. Delgado

Pages:

1127-1132

DOI:

10.4028/www.scientific.net/DDF.297-301.1127

Citation:

H. Bolvardi et al., "Predicting Behavior of Plasma Nitrided Ni+Al Composite Coating Using an Artificial Neural Network Model", Defect and Diffusion Forum, Vols. 297-301, pp. 1127-1132, 2010

Online since:

April 2010

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Price:

$35.00

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