Centrifugal separation experimentation and optimum predictive model development for copper recovery from waste copper smelter dust

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dc.contributor.author Okanigbe, Daniel
dc.contributor.author Olawale, Popoola
dc.contributor.author Popoola, Abimbola
dc.contributor.author Adeleke, Abraham
dc.contributor.author Ayomoh, Michael Kweneojo
dc.contributor.author Kolesnikov, Andrei
dc.date.accessioned 2019-09-19T11:43:15Z
dc.date.available 2019-09-19T11:43:15Z
dc.date.issued 2018
dc.description.abstract This research has presented a three level-two factors full factorial experimental design that investigated the process parameterization of a centrifugal concentrator for the separation of a waste copper smelter dust (CSD). This was followed by a theoretical contribution involving the development of a scheme of predictive models premised on the concept of constrained interpolant models. These were used for the experimental trend, pattern investigation and furthermore to provide expressions that depicts optimal experimental conditions in this research. Based on the experimental outputs, it was observed that a maximum grade of about 35.02 wt% Cu was achieved at a Rotational Bowl Speed of 120G, Water Flow Rate of 3.0l/min and constant experimental flow rate of 1.48l/min with a Liquid to Solid Ratio of 0.5. Similarly, a minimum output of 14.58% SiO2 and 10.29% Al2O3 was achieved at same experimental conditions. This clearly depicts a trend geared towards optimum experimental conditions aimed at maximizing Cu output and minimizing SiO2 and Al2O3 impurities. The predicted outputs premised on the use of Matlab software are in good conformance with the experimental outputs with a high degree of accuracy and confidence level over 97% as shown in Table 1 and corresponding Figures. en_ZA
dc.description.department Industrial and Systems Engineering en_ZA
dc.description.librarian am2019 en_ZA
dc.description.sponsorship Department of Science and Technology, Republic of South Africa, Council for Scientific and Industrial Research (CSIR), Pretoria, Republic of South Africa and the National Research Foundation (NRF) Republic of South Africa. en_ZA
dc.description.uri https://www.tandfonline.com/loi/oaen20 en_ZA
dc.identifier.citation Okanigbe, D., Olawale, P., Popoola, A. et al. 2018, 'Centrifugal separation experimentation and optimum predictive model development for copper recovery from waste copper smelter dust', Cogent Engineering, vol. 5, no. 1551175, pp. 1-15. en_ZA
dc.identifier.issn 2331-1916 (online)
dc.identifier.other 10.1080/23311916.2018.1551175
dc.identifier.uri http://hdl.handle.net/2263/71420
dc.language.iso en en_ZA
dc.publisher Cogent OA en_ZA
dc.rights © 2018 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. en_ZA
dc.subject Mathematical modeling en_ZA
dc.subject Optimization en_ZA
dc.subject Density separation en_ZA
dc.subject Classification en_ZA
dc.subject Copper smelter dust (CSD) en_ZA
dc.title Centrifugal separation experimentation and optimum predictive model development for copper recovery from waste copper smelter dust en_ZA
dc.type Article en_ZA


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