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

dc.contributor.authorOkanigbe, Daniel
dc.contributor.authorOlawale, Popoola
dc.contributor.authorPopoola, Abimbola
dc.contributor.authorAdeleke, Abraham
dc.contributor.authorAyomoh, Michael Kweneojo
dc.contributor.authorKolesnikov, Andrei
dc.contributor.emailmichael.ayomoh@up.ac.zaen_ZA
dc.date.accessioned2019-09-19T11:43:15Z
dc.date.available2019-09-19T11:43:15Z
dc.date.issued2018
dc.description.abstractThis 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.departmentIndustrial and Systems Engineeringen_ZA
dc.description.librarianam2019en_ZA
dc.description.sponsorshipDepartment 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.urihttps://www.tandfonline.com/loi/oaen20en_ZA
dc.identifier.citationOkanigbe, 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.issn2331-1916 (online)
dc.identifier.other10.1080/23311916.2018.1551175
dc.identifier.urihttp://hdl.handle.net/2263/71420
dc.language.isoenen_ZA
dc.publisherCogent OAen_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.subjectMathematical modelingen_ZA
dc.subjectOptimizationen_ZA
dc.subjectDensity separationen_ZA
dc.subjectClassificationen_ZA
dc.subjectCopper smelter dust (CSD)en_ZA
dc.titleCentrifugal separation experimentation and optimum predictive model development for copper recovery from waste copper smelter dusten_ZA
dc.typeArticleen_ZA

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