The measurement of flow velocity distribution

 

Show simple item record

dc.contributor.advisor Greene, J R en_ZA
dc.contributor.author Dann, Michael Stephen en_ZA
dc.date.accessioned 2015-11-30T08:23:45Z
dc.date.available 2015-11-30T08:23:45Z
dc.date.issued 1981 en_ZA
dc.identifier.citation Dann, M. 1981. The measurement of flow velocity distribution. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/15438
dc.description Includes bibliography. en_ZA
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Electrical Engineering en_ZA
dc.title The measurement of flow velocity distribution en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering and the Built Environment
dc.publisher.department Department of Electrical Engineering en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc (Eng) en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Dann, 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/11427/15438 en_ZA
dc.identifier.chicagocitation Dann, 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/11427/15438 en_ZA
dc.identifier.vancouvercitation Dann 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/11427/15438 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


Files in this item

This item appears in the following Collection(s)

Show simple item record