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OPTIMIZATION OF LEACHING PARAMETERS FOR THE EXTRACTION OF COPPER FROM HEMATITE-DOMINATED COPPER ORE USING RESPONSE SURFACE METHODOLOGY (RSM)

T. J. Ayodele, A. A. Daniyan

2023encopper oreoptimizationextractionleachingresponse surface methodology

Abstract

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The optimization of recovery of copper from Akiri hematite-dominated copper ore using hydrometallurgy was investigated in this study. The Akiri copper ore deposit hosts a high-grade copper mineral from which copper metal can be extracted. However, the ore is dominated by gangue minerals that need to be mechanically reduced for efficient copper recovery. The purpose of this study is to optimize the extraction of the metal from hematite-dominated copper ore. The experiments conducted included crushing, pulverization, mineralogical and chemical characterizations, and sulfuric acid leaching. Response surface methodology was utilized to optimize the system parameters, namely temperature, concentration of the leachant, and contact time, to develop an efficient method for copper extraction. Characterization revealed the presence of chalcopyrite, covellite, and cuprite as copper minerals alongside gangue minerals like quartz, mica, and hematite. The ore was found to contain 4.61% copper and 65.8% iron. The study examined the effects of concentration, temperature, and contact time on copper extraction, applying a central composite design to the quadratic model for optimal conditions. Results indicated that the concentration of the acid was the most effective factor for copper extraction, highlighted by a high F-statistic value, surpassing the influences of temperature and contact time.

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Cite This Work

@article{159f5bfa-7ac5-494b-9ae0-d86bae949c62,
  title={OPTIMIZATION OF LEACHING PARAMETERS FOR THE EXTRACTION OF COPPER FROM HEMATITE-DOMINATED COPPER ORE USING RESPONSE SURFACE METHODOLOGY (RSM)},
  author={T. J. Ayodele and A. A. Daniyan},
  year={2023},
  language={en}
}
TY  - JOUR
TI  - OPTIMIZATION OF LEACHING PARAMETERS FOR THE EXTRACTION OF COPPER FROM HEMATITE-DOMINATED COPPER ORE USING RESPONSE SURFACE METHODOLOGY (RSM)
AU  - T. J. Ayodele
AU  - A. A. Daniyan
PY  - 2023
LA  - en
ER  -

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