Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique

A detailed and accurate measurement technique for metering solids bulk pneumatic transportation often creates challenging problems to engineer and scientist. Problems occurred particularly due to spatial and temporal fluctuations of both the solid velocity and concentration during pneumatic transpor...

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Main Author:	Kamaruddin, Norhalimatul Sadiah
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/26753/1/NorhalimatulsadiahMFKE2011.pdf
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spelling	my-utm-ep.267532018-05-27T06:36:18Z Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique 2011 Kamaruddin, Norhalimatul Sadiah TK Electrical engineering. Electronics Nuclear engineering A detailed and accurate measurement technique for metering solids bulk pneumatic transportation often creates challenging problems to engineer and scientist. Problems occurred particularly due to spatial and temporal fluctuations of both the solid velocity and concentration during pneumatic transportation. During this development, it leads to the use of tomographic measurement techniques. A well-liked trend in the development of tomographic measurement techniques for research and production is the use of electrical techniques. One of the electrical tomographic techniques is electrical charge tomography or also known as electrodynamic tomography which offers inexpensive, non-invasive, simple and robust method for measuring particulate solids flow in pneumatic pipeline. In this research electrical charge tomography measurement is made by placing an array of 16 electrodynamic sensors evenly around circumference of pipe to detect the existence of inherent charge on the moving particles which passes through the pipe. The converted voltage signals received from the 16 electrodynamic transducers are captured and stored by data acquisition card which acts as interface between the computer and the transducers. The two most commonly methods for image reconstruction namely linear back projection algorithm and filtered back projection algorithm are employed to produce tomographic image. The signals captured are in range of mass flow rate between 110g/s until 500g/s. Matlab is exploited to compute the image reconstruction and visualise the tomogram for concentration distribution across a given cross section of pneumatic pipeline. Baffles of diverse shapes are inserted to create various flow regimes whereby fuzzy logic technique is used to identify these flow regimes. The major conclusions drawn from this research were the successful use of the fuzzy logic technique for flow regime identification and producing an improved image of filtered back concentration profiles for each flow regime. 2011 Thesis http://eprints.utm.my/id/eprint/26753/ http://eprints.utm.my/id/eprint/26753/1/NorhalimatulsadiahMFKE2011.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:76623?queryType=vitalDismax&query=+Flow+regimes+identification+of+particles+conyveying+in+pneumatic+pipeline+using+electric+charge+tomography+and+fuzzy+logic+technique+&public=true masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Kamaruddin, Norhalimatul Sadiah Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique
description	A detailed and accurate measurement technique for metering solids bulk pneumatic transportation often creates challenging problems to engineer and scientist. Problems occurred particularly due to spatial and temporal fluctuations of both the solid velocity and concentration during pneumatic transportation. During this development, it leads to the use of tomographic measurement techniques. A well-liked trend in the development of tomographic measurement techniques for research and production is the use of electrical techniques. One of the electrical tomographic techniques is electrical charge tomography or also known as electrodynamic tomography which offers inexpensive, non-invasive, simple and robust method for measuring particulate solids flow in pneumatic pipeline. In this research electrical charge tomography measurement is made by placing an array of 16 electrodynamic sensors evenly around circumference of pipe to detect the existence of inherent charge on the moving particles which passes through the pipe. The converted voltage signals received from the 16 electrodynamic transducers are captured and stored by data acquisition card which acts as interface between the computer and the transducers. The two most commonly methods for image reconstruction namely linear back projection algorithm and filtered back projection algorithm are employed to produce tomographic image. The signals captured are in range of mass flow rate between 110g/s until 500g/s. Matlab is exploited to compute the image reconstruction and visualise the tomogram for concentration distribution across a given cross section of pneumatic pipeline. Baffles of diverse shapes are inserted to create various flow regimes whereby fuzzy logic technique is used to identify these flow regimes. The major conclusions drawn from this research were the successful use of the fuzzy logic technique for flow regime identification and producing an improved image of filtered back concentration profiles for each flow regime.
format	Thesis
qualification_level	Master's degree
author	Kamaruddin, Norhalimatul Sadiah
author_facet	Kamaruddin, Norhalimatul Sadiah
author_sort	Kamaruddin, Norhalimatul Sadiah
title	Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique
title_short	Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique
title_full	Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique
title_fullStr	Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique
title_full_unstemmed	Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique
title_sort	flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2011
url	http://eprints.utm.my/id/eprint/26753/1/NorhalimatulsadiahMFKE2011.pdf
_version_	1747815502519992320

Flow regimes identification of particles conyveying in pneumatic pipeline using electric charge tomography and fuzzy logic technique

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