Abstract
AbstractSolidified/stabilized products containing steel foundry dust from production of two different kinds of steel (specialty and common), three different types of cement (Portland‐slag cement II‐S/35A, blastfurnace cement III‐1/35A, and ordinary Portland cement I/45A), and two types of lime, CaO and Ca(OH)2 were studied. The heavy metals Cd, Cr, and Pb were significant toxic elements in the wastes. Neural network analysis was used to model the nonlinear dependency of leachate pH and metal concentrations on the product formulation. The models can be used to predict the TCLP concentrations for new products designed using these mix components, for comparison with the regulatory limits.
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