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Application of attainable region technique to optimize copper slag’s desired size class

dc.contributor.authorGabasiane, Tlotlo, Solomon
dc.contributor.authorDanha, Gwiranai
dc.contributor.authorMamvura, Tirivaviri
dc.contributor.authorMashifana, Tebogo
dc.contributor.authorSibanda, Vusumuzi
dc.date.accessioned2023-11-14T08:41:26Z
dc.date.available2023-11-14T08:41:26Z
dc.date.issued2022-12-23
dc.description.abstractCopper slag is a hard material produced from smelting copper-bearing ores. Over the years, research has prioritized utilizing slag as a secondary source of base metals. This paper focuses on the grinding/milling of copper slag collected from the BCL Mine in Botswana to obtain a maximum amount of material in the desired size class with minimal energy consumption. This will then be followed by an integrated flotation and leaching approach of the desired size class material to recover copper. Our objectives are to determine the grinding time, ball loading, mill filling and desired size class for maximum recovery of copper mineral. The attainable region technique is an equipment-independent optimization tool employed here to determine the optimal specifications of our experimentally manipulated variables to satisfy the set objective function.en_US
dc.description.accessibilityunrestricteden_US
dc.description.departmentcmeen_US
dc.description.levelphden_US
dc.identifier.citationGabasiane, T.S.; Danha, G.; Mamvura, T.; Mashifana, T.; Sibanda, V.(2022) Application of Attainable Region Technique to Optimize Copper Slag’s Desired Size Class. Minerals 2023, 13, 19. https://doi.org/10.3390/ min13010019en_US
dc.identifier.issn2075-163X
dc.identifier.urihttps://repository.biust.ac.bw/handle/123456789/559
dc.language.isoenen_US
dc.publisherMDPI, Basel, Switzerlanden_US
dc.subjectDesired size classen_US
dc.subjectGrinding timesen_US
dc.subjectBall loadingen_US
dc.subjectAttainable region theoryen_US
dc.subjectEnergy efficiencyen_US
dc.titleApplication of attainable region technique to optimize copper slag’s desired size classen_US

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