Subramanian, K. and Periasamy, V.M. and Pushpavanam, M. and Ramasamy, K. (2009) Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks. Portugaliae Electrochimica Acta, 27 (1). pp. 47-55. ISSN 0872-1904

[img] PDF
Restricted to Registered users only

Download (189Kb) | Request a copy

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Electroplating; Copper content; Regression; Neural network; model
Subjects: Industrial Metal Finishing
Divisions: UNSPECIFIED
Depositing User: ttbdu cecri
Date Deposited: 05 Mar 2012 09:53
Last Modified: 05 Mar 2012 09:53
URI: http://cecri.csircentral.net/id/eprint/1177

Actions (login required)

View Item View Item