Journal
JOURNAL OF CLEANER PRODUCTION
Volume 249, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.119401
Keywords
Waste printed circuit board; Leaching; Copper recovery; Response surface methodology; Analytical hierarchy process; TOPSIS
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Funding
- Center for Solid Waste Research (CSWR), Institute for Environmental Research (IER) of Tehran University of Medical Sciences [96-03-46-36722]
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The present study aims to conduct a comprehensive comparison of five hydrometallurgical processes to recover copper from PCBs by adopting the central composite design. Response surface analysis indicated that temperature is the most critical parameter among all of the leaching processes. The effects of the concentration of leaching agent and reaction time on the efficiency of Cu recovery were also statistically significant. The maximum actual recovery rates of Cu being 90, 88, 82, 72, and 62% were achieved by potassium cyanide (KCN), ethylenediaminetetraacetic acid (EDTA), nitric acid (HNO3), ammonium persulfate ((NH4)(2)S2O8), and hydrochloric acid (HCl) under the optimum conditions, respectively. According to the results, potassium cyanide exhibited a more significant potential for Cu recovery than other studied methods. Although the selection of the most appropriate leaching method requires complex decision criteria, this challenge could be overcome using multiple criteria decision making (MCDM) approach. Therefore, a critical comparison of the leaching methods regarding the role of 11 criteria was conducted based on the fuzzy analytic hierarchy process (FAHP) and the technique for order performance by similarity to ideal solution (Fuzzy-TOPSIS). According to the TOPSIS results, the following order can be suggested as the best leaching processes; EDTA > HNO3 > (NH4)(2)S2O8 > HCl > KCN. Therefore, with regard to the role of all critical factors, it can be concluded that non-toxic, eco-friendly, and economically attractive processes such as EDTA can be considered as a potential substitution method for high-efficiency cyanide-based processes. (C) 2019 Elsevier Ltd. All rights reserved.
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