Predictive modelling and optimisation of tin in electro-deposition of bronze using response surface methodology
by K. Subramanian, Malathy Pushpavanam, V.M. Periasamy, K. Ramasamy
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 3, No. 5/6, 2011

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. Tin 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. Response surface methodology was applied for experimental investigation of the various process parametric effects on tin content in the alloy deposit.

Online publication date: Tue, 30-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Aided Engineering and Technology (IJCAET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com