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Portugaliae Electrochimica Acta

Print version ISSN 0872-1904

Port. Electrochim. Acta vol.27 no.1 Coimbra  2009


Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks


K. Subramanian,1,* V.M. Periasamy,2 M. Pushpavanam,3 K. Ramasamy1


1A.C. College of Engineering and Technology, Karaikudi 630 004, TN, India

2B.S.A.Cresent Engineering College, Vandalur, Chennai 600 048, TN, India

3Central Electrochemical Research Institute, Karaikudi 630 006, TN, India


Received 18 September 2008; accepted 27 November 2008



The aim of this research is to obtain electrodeposits of copper-tin over mild steel substrate. The plating parameters were studied and a model is developed using Artificial Neural Networks (ANN). The electrodeposition of copper-tin was carried out from an alkaline cyanide bath. Copper content of coatings in alloy deposition was determined by using X-ray fluorescence spectroscopy. The results were used to create a model for the plating characteristics and also for studies using ANN. The ANN model is compared with the conventional mathematical regression model for analysis.

Keywords: electroplating, copper content, regression, neural network, model.



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