2018
DOI: 10.3390/min8040165
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Response Surface Methodology for Optimization of Copper Leaching from Refractory Flotation Tailings

Abstract: Response surface methodology is used to optimize the leaching process for refractory flotation copper tailings. The proportion of the refractory combination oxide copper (chrysocolla) is 64.84%. At present, few studies have examined the leaching of chrysocolla. In this study, we examine the effects of several variables, including the amount of concentrated sulfuric acid, leaching temperature, and leaching time, on leaching efficiency. Using a response surface methodology, we develop a quadratic model relanbtin… Show more

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Cited by 27 publications
(21 citation statements)
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“…A re-mining project through reprocessing techniques is feasible, and studies have worked with hydrometallurgical methods to recover metals from residues could ensure: studies of recovering copper from refractory flotation tailings reached over 86% efficiency [17]; reprocessing of cassiterite tailings by froth flotation with the addition of alternative reagents [26], proving that conventional flotation has better results. Around 70% of the cassiterite was recovered on the froth.…”
Section: Discussionmentioning
confidence: 99%
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“…A re-mining project through reprocessing techniques is feasible, and studies have worked with hydrometallurgical methods to recover metals from residues could ensure: studies of recovering copper from refractory flotation tailings reached over 86% efficiency [17]; reprocessing of cassiterite tailings by froth flotation with the addition of alternative reagents [26], proving that conventional flotation has better results. Around 70% of the cassiterite was recovered on the froth.…”
Section: Discussionmentioning
confidence: 99%
“…It is known that factorial designs are efficiently used to study the response of experimental conditions in many experiments [17]. When an experimental design is not possible, the data obtained from experimental research could also be treated by regression methods.…”
Section: Experiment-data Analysis and Modelingmentioning
confidence: 99%
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“…It is known that factorial designs are efficiently used to study the response of experimental conditions in many experiments, as well described by [10]. When it is not possible to do an experimental design, the data obtained from experimental research could also be treated by regression methods.…”
Section: Experimental Data Analysis and Modellingmentioning
confidence: 99%