The measurement of flow velocity distribution

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dc.contributor.advisorGreene, J Ren_ZA
dc.contributor.authorDann, Michael Stephenen_ZA
dc.date.accessioned2015-11-30T08:23:45Z
dc.date.available2015-11-30T08:23:45Z
dc.date.issued1981en_ZA
dc.descriptionIncludes bibliography.en_ZA
dc.description.abstractA method for the improvement of the range and accuracy achieved by the cross-correlation flowmeter is investigated. The principles of the flowmeter operation and fundamental digital signal processing techniques are reviewed. The process of the Fourier transform deconvolution is investigated. Computer simulation of the flow system is described and is shown to require impractical amounts of computer time to achieve the necessary averaging times. Consequently, correlation and velocity profile measurements are made from an experimental flow rig. A waveform analysis program is used to analyse these measurements. The Fourier transform deconvolution is shown in this case to have poor noise immunity. For this reason, an alternative method of Bayesian deconvolution is investigated. The correlation functions measured from the experimental flow rig are deconvolved using the Bayesian deconvolution algorithm. The resulting transit time distribution is shown to converge to the transit time distribution obtained from the velocity profile measurements. From an analysis of the flow signals the velocity distribution of the flow may thus be found.en_ZA
dc.identifier.apacitationDann, M. S. (1981). <i>The measurement of flow velocity distribution</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/15438en_ZA
dc.identifier.chicagocitationDann, Michael Stephen. <i>"The measurement of flow velocity distribution."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1981. http://hdl.handle.net/11427/15438en_ZA
dc.identifier.citationDann, M. 1981. The measurement of flow velocity distribution. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Dann, Michael Stephen AB - A method for the improvement of the range and accuracy achieved by the cross-correlation flowmeter is investigated. The principles of the flowmeter operation and fundamental digital signal processing techniques are reviewed. The process of the Fourier transform deconvolution is investigated. Computer simulation of the flow system is described and is shown to require impractical amounts of computer time to achieve the necessary averaging times. Consequently, correlation and velocity profile measurements are made from an experimental flow rig. A waveform analysis program is used to analyse these measurements. The Fourier transform deconvolution is shown in this case to have poor noise immunity. For this reason, an alternative method of Bayesian deconvolution is investigated. The correlation functions measured from the experimental flow rig are deconvolved using the Bayesian deconvolution algorithm. The resulting transit time distribution is shown to converge to the transit time distribution obtained from the velocity profile measurements. From an analysis of the flow signals the velocity distribution of the flow may thus be found. DA - 1981 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1981 T1 - The measurement of flow velocity distribution TI - The measurement of flow velocity distribution UR - http://hdl.handle.net/11427/15438 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/15438
dc.identifier.vancouvercitationDann MS. The measurement of flow velocity distribution. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1981 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/15438en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleThe measurement of flow velocity distributionen_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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