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Journal of Health Reports and Technology
The Official Journal of Kermanshah University of Medical Sciences
e-ISSN 2783-2511
Image Credit:J Health Rep Technol
Outline
Leaching optimization of copper from converter slag ash
1Department of Chemical Engineering, School of Chemical Engineering, Kurdistan University, Sanandaj, Iran
2Department of Chemical Engineering, School of Chemical Engineering, Tarbiat Modares University, Tehran, Iran
*Corresponding Author: Corresponding author: Saeb Ahmadi, Department of Chemical Engineering, School of Chemical Engineering, Tarbiat Modares University, Tehran, Iran Email: saeb.ahmadi@gmail.com
Published online:Jul 15, 2016
Article type:Research Article
Received:Jun 02, 2016
Accepted:Jul 10, 2016
Abstract
The main objective of this work was to determine the adequacy of Response Surface Methodology (RSM) in optimizing conditions for copper solubilization from a converter slag using sulfuric acid and to test the polynomial model associated with RSM. RSM was applied for optimization of the main factors, including initial pH, initial temperature, and pulp density. The maximum copper recovery was 100% under the optimal conditions of initial pH of 3, 1.4 g/100mL initial density, and 55°C. The confirmation test showed that the model can predict conditions accurately.
Highlights
How to Cite:Rozrokh K, Ahmadi S. Leaching optimization of copper from converter slag ash. J Health Rep Technol. 2016;2(1):e74056. doi:
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Copyright
© 2016, Journal of Health Reports and Technology. This open-access article is available under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) International License (https://creativecommons.org/licenses/by-nc/4.0/), which allows for the copying and redistribution of the material only for noncommercial purposes, provided that the original work is properly cited.
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