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

H. Bolvardi; Ali Shokuhfar; N. Daemi

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

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

Abstract:

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.

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Periodical:

Defect and Diffusion Forum (Volumes 297-301)

Pages:

1127-1132

DOI:

https://doi.org/10.4028/www.scientific.net/DDF.297-301.1127

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Online since:

April 2010

Authors:

H. Bolvardi, Ali Shokuhfar, N. Daemi

Keywords:

Aluminum (Al), Coating, Neural Network (NN), Nickel, Plasma Nitriding, Prediction

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References

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