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Meeting 2020 TMS Annual Meeting & Exhibition
Symposium Recycling of Secondary, Byproduct Materials and Energy
Presentation Title Experimentation, Modeling and Optimum Conditions of Pyro-hydrometallurgical-precipitation Reaction Technology for Recovery of Copper as Oxide of Nanoparticles from a Copper Dust
Author(s) Adeleke Abraham Adewale, Patricia Abimbola Popoola, Olawale Moshood Popoola, Daniel Ogochukwu Okanigbe
On-Site Speaker (Planned) Adeleke Abraham Adewale
Abstract Scope Conventionally, the leach-solvent extraction-electrowinning technology has been preferred for copper recovery from its primary and secondary sources as cathode slabs. Even though, its recovery as copper oxide nano-particles (CuO NPs) is more preferred. Hence, this paper aimed at presenting the production of CuO NPs from purified pregnant leach solution (PPLS) of a copper smelter dust (CSD); a bye-product of primary copper ore smelting. This aim was achieved in four steps of roasting pretreatment, dissolution, precipitation reaction and thermal decomposition. The CSD was first roasted in a muffle furnace; after which, its copper value was taken into solution via sulphuric agitation leaching using a magnetic stirrer with heater. The reduction of iron in the resultant pregnant leach solution followed; it was achieved by optimizing the compositional proportion of H2SO4:FeSO4.7H2O. Copper precursor was then produced from the PPLS via dropwise addition of Na2CO3. The precipitate from reaction between chemical species in the PPLS and Na2CO3 served as copper precursor; this copper precursor was thermally decomposed to produce the CuO NPs. The optimum conditions for this process route are as follows: 2hrs, 2M and 90ﹾC (agitation leaching); 800ﹾC for 2hrs (oxidative roasting); 25ﹾC and 740 rpm (precipitation of copper precursor); 750ﹾC for 2hrs (precipitation of copper nanoparticles). A grade of 51.30% CuO NPs was achieved from an initial 18.02% Cu content. Average crystallite size was estimated at 35nm. The predicted outputs proportions obtained using the models were in good conformance with the experimental outputs with error margins between 0.00 and 0.07%.
Proceedings Inclusion? Planned:

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