Title: Predictive modelling and optimisation of tin in electro-deposition of bronze using response surface methodology
Authors: K. Subramanian, Malathy Pushpavanam, V.M. Periasamy, K. Ramasamy
Addresses: Department of Mechanical Engineering, Alagappa Chettiar College of Engineering and Technology, Karaikudi, Tamilnadu 630 004, India. ' Department of Mechanical Engineering, Alagappa Chettiar College of Engineering and Technology, Karaikudi, Tamilnadu 630 004, India. ' B.S.A.R. Crescent Engineering College, Vandalur, Chennai, Tamilnadu 600 048, India. ' Department of Mechanical Engineering, Shanmuganathan Engineering College, Arasampatti, Tamilnadu 622 507, India
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.
Keywords: electroplating; tin content; regression; artificial neural networks; ANNs; response surface methodology; RSM; predictive modelling; optimisation; electrodeposition; bronze; copper; mild steel; alloy deposition.
International Journal of Computer Aided Engineering and Technology, 2011 Vol.3 No.5/6, pp.570 - 582
Published online: 06 Sep 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article