Research Journal of Science and Technology

Ezaz Ahmed ¹, Abhijit Ray ¹

Affiliations
1 Department of Biotechnology, Raipur Institute of Technology, Raipur, IN

Abstract

Dezincing of galvanized steel scrap was investigated by preferential dissolution of the galvanized coatings in a variety of acidic environments comprising dilute and moderate concentrations of Hydrochloric, Sulfuric and Nitric Acids. The data thus generated was used to develop an Artificial Neural Network model to estimate the extent of dezincing as a function of thickness and concentration of acids. It was found that the model developed has very good accuracy level.

Keywords

Dezincing, Galvanized Steel, Artificial Neural Network.

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