Modeling of Dezincing of Galvanized Steel Scrap

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.