A mathematical model for predicting classification performance in wet fine screens

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dc.contributor.advisorMainza, Aubrey Njemaen_ZA
dc.contributor.advisorKallon, Daramyen_ZA
dc.contributor.advisorBepswa, Aaron Paulen_ZA
dc.contributor.authorMwale, Adolph Ntajaen_ZA
dc.date.accessioned2016-06-24T06:32:00Z
dc.date.available2016-06-24T06:32:00Z
dc.date.issued2015en_ZA
dc.description.abstractScreening is a well-known classification process in the minerals processing industry. The process involves separation of fine particles from coarse particles based on size and is applicable to both dry and fine screening. Fine screening is normally carried out wet. Until recently, fine wet screening had been limited to relatively low throughput applications. Developments in the recent past have seen the evolution of fine screening to high capacity applications. It has found application in operations such as closed circuits with a mill in place of hydrocyclones. However, even though developments are increasing, there has been a process model developmental lag. A fine wet screen model that can be used for unit simulation purposes to predict screen performance outcomes or integration into other models to simulate and predict process performance is necessary. Most existing screen models are for dry and coarse screening applications. This thesis is aimed at developing a fine wet screen process model for predicting wet screening performance in the 45 - 150 μm range. Pilot plant testwork was conducted using a UG2-Chrome ore blend as feed.en_ZA
dc.identifier.apacitationMwale, A. N. (2015). <i>A mathematical model for predicting classification performance in wet fine screens</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering. Retrieved from http://hdl.handle.net/11427/20122en_ZA
dc.identifier.chicagocitationMwale, Adolph Ntaja. <i>"A mathematical model for predicting classification performance in wet fine screens."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2015. http://hdl.handle.net/11427/20122en_ZA
dc.identifier.citationMwale, A. 2015. A mathematical model for predicting classification performance in wet fine screens. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mwale, Adolph Ntaja AB - Screening is a well-known classification process in the minerals processing industry. The process involves separation of fine particles from coarse particles based on size and is applicable to both dry and fine screening. Fine screening is normally carried out wet. Until recently, fine wet screening had been limited to relatively low throughput applications. Developments in the recent past have seen the evolution of fine screening to high capacity applications. It has found application in operations such as closed circuits with a mill in place of hydrocyclones. However, even though developments are increasing, there has been a process model developmental lag. A fine wet screen model that can be used for unit simulation purposes to predict screen performance outcomes or integration into other models to simulate and predict process performance is necessary. Most existing screen models are for dry and coarse screening applications. This thesis is aimed at developing a fine wet screen process model for predicting wet screening performance in the 45 - 150 μm range. Pilot plant testwork was conducted using a UG2-Chrome ore blend as feed. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - A mathematical model for predicting classification performance in wet fine screens TI - A mathematical model for predicting classification performance in wet fine screens UR - http://hdl.handle.net/11427/20122 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/20122
dc.identifier.vancouvercitationMwale AN. A mathematical model for predicting classification performance in wet fine screens. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/20122en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Chemical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherChemical Engineeringen_ZA
dc.titleA mathematical model for predicting classification performance in wet fine screensen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc (Eng)en_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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