Probability based models for the power draw and energy spectra of a tumbling mill

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dc.contributor.advisorMainza, Aubreyen_ZA
dc.contributor.authorBbosa, Lawrence Sidneyen_ZA
dc.date.accessioned2014-07-31T11:12:36Z
dc.date.available2014-07-31T11:12:36Z
dc.date.issued2013en_ZA
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliographical references.
dc.description.abstractPositron Emission Particle Tracking (PEPT) and the Discrete Element Method (DEM) are used to develop probability based models for the power draw and collision energy spectra of a tumbling mill. Experiments are conducted using dry spherical glass bead charge in a laboratory scale tumbling mill, which is mounted with a torque transducer and tachometer to measure mill power. Particle tracking information from PEPT is used to reconstruct the motion of glass beads and infer the overall charge behaviour, while DEM is employed to simulate particle motion and interaction, with collision mechanics calculated using the Hertz-Mindlin contact model. For both sets of data, the product of torque and average angular velocities in discrete cells are accumulated to obtain mill power. This method is found to be within statistical agreement with measured power for all tests. The information from both techniques is then used to develop a model for the power draw as a function of particle size, mill speed and volumetric filling. Predictions of the model match well with measured and calculated values. Based on frequency distributions of collision energies from DEM, a model for the energy spectra of each particle size per steady state mill revolution is developed. This model is found to predict collision frequencies within close agreement with DEM simulation data and follows trends consistent with existing work on tumbling mill modelling.en_ZA
dc.identifier.apacitationBbosa, L. S. (2013). <i>Probability based models for the power draw and energy spectra of a tumbling mill</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering. Retrieved from http://hdl.handle.net/11427/5347en_ZA
dc.identifier.chicagocitationBbosa, Lawrence Sidney. <i>"Probability based models for the power draw and energy spectra of a tumbling mill."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2013. http://hdl.handle.net/11427/5347en_ZA
dc.identifier.citationBbosa, L. 2013. Probability based models for the power draw and energy spectra of a tumbling mill. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Bbosa, Lawrence Sidney AB - Positron Emission Particle Tracking (PEPT) and the Discrete Element Method (DEM) are used to develop probability based models for the power draw and collision energy spectra of a tumbling mill. Experiments are conducted using dry spherical glass bead charge in a laboratory scale tumbling mill, which is mounted with a torque transducer and tachometer to measure mill power. Particle tracking information from PEPT is used to reconstruct the motion of glass beads and infer the overall charge behaviour, while DEM is employed to simulate particle motion and interaction, with collision mechanics calculated using the Hertz-Mindlin contact model. For both sets of data, the product of torque and average angular velocities in discrete cells are accumulated to obtain mill power. This method is found to be within statistical agreement with measured power for all tests. The information from both techniques is then used to develop a model for the power draw as a function of particle size, mill speed and volumetric filling. Predictions of the model match well with measured and calculated values. Based on frequency distributions of collision energies from DEM, a model for the energy spectra of each particle size per steady state mill revolution is developed. This model is found to predict collision frequencies within close agreement with DEM simulation data and follows trends consistent with existing work on tumbling mill modelling. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Probability based models for the power draw and energy spectra of a tumbling mill TI - Probability based models for the power draw and energy spectra of a tumbling mill UR - http://hdl.handle.net/11427/5347 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5347
dc.identifier.vancouvercitationBbosa LS. Probability based models for the power draw and energy spectra of a tumbling mill. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5347en_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.titleProbability based models for the power draw and energy spectra of a tumbling millen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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