Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique

Electrostatic sensors are broadly applied to measure velocity of solid particles in many industries because controlling the velocity particles improves product quality and process efficiency. These sensors are selected due to their robust design and being economically viable. Optimization of differe...

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Main Author:	Heydarianasl, Mozhde
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/81802/1/MozhdeHeydarianaslPFKE2017.pdf
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spelling	my-utm-ep.818022019-09-24T09:36:55Z Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique 2017 Heydarianasl, Mozhde TK Electrical engineering. Electronics Nuclear engineering Electrostatic sensors are broadly applied to measure velocity of solid particles in many industries because controlling the velocity particles improves product quality and process efficiency. These sensors are selected due to their robust design and being economically viable. Optimization of different electrode sizes and shapes of these sensors is required to find the ideal electrodes associated with maximum spatial sensitivity and minimum statistical error. Uniform spatial sensitivity is a crucial factor because it would lead to increase similarity between the measured correlation velocity and true mean particle velocity. This thesis proposes a new method to optimize different parameters of electrodes for electrostatic sensors. This technique identified characteristics of the electrostatic sensor in a MATLAB code called Particle Swarm Optimization (PSO). A mathematical model of various electrodes to compute spatial sensitivity and statistical error was applied to extract geometric size information of electrodes to detect suitable equations. To validate the proposed method, different values of electrode designs were applied in experimental tests conducted in a laboratory to measure the velocity of solid particles. The experimental results were optimized through Response Surface Methodology (RSM), an optimization technique for experimentation. The optimized results showed that spatial sensitivity of circular-ring electrode is more uniform in comparison to the other electrodes. The optimal length of circular-ring electrode was between 0.577 cm and 0.600 cm. In addition, the best thickness for the electrodes was between 0.475 cm and 0.500 cm. A close agreement between optimization and experimentation verifies that the proposed method is feasible to optimize physical sizes of electrostatic sensor electrodes. These results provide a significant basis of the effect of geometric dimensions on the sensing characteristics of electrostatic sensors. 2017 Thesis http://eprints.utm.my/id/eprint/81802/ http://eprints.utm.my/id/eprint/81802/1/MozhdeHeydarianaslPFKE2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:126162 phd doctoral Universiti Teknologi Malaysia 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 Heydarianasl, Mozhde Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique
description	Electrostatic sensors are broadly applied to measure velocity of solid particles in many industries because controlling the velocity particles improves product quality and process efficiency. These sensors are selected due to their robust design and being economically viable. Optimization of different electrode sizes and shapes of these sensors is required to find the ideal electrodes associated with maximum spatial sensitivity and minimum statistical error. Uniform spatial sensitivity is a crucial factor because it would lead to increase similarity between the measured correlation velocity and true mean particle velocity. This thesis proposes a new method to optimize different parameters of electrodes for electrostatic sensors. This technique identified characteristics of the electrostatic sensor in a MATLAB code called Particle Swarm Optimization (PSO). A mathematical model of various electrodes to compute spatial sensitivity and statistical error was applied to extract geometric size information of electrodes to detect suitable equations. To validate the proposed method, different values of electrode designs were applied in experimental tests conducted in a laboratory to measure the velocity of solid particles. The experimental results were optimized through Response Surface Methodology (RSM), an optimization technique for experimentation. The optimized results showed that spatial sensitivity of circular-ring electrode is more uniform in comparison to the other electrodes. The optimal length of circular-ring electrode was between 0.577 cm and 0.600 cm. In addition, the best thickness for the electrodes was between 0.475 cm and 0.500 cm. A close agreement between optimization and experimentation verifies that the proposed method is feasible to optimize physical sizes of electrostatic sensor electrodes. These results provide a significant basis of the effect of geometric dimensions on the sensing characteristics of electrostatic sensors.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Heydarianasl, Mozhde
author_facet	Heydarianasl, Mozhde
author_sort	Heydarianasl, Mozhde
title	Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique
title_short	Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique
title_full	Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique
title_fullStr	Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique
title_full_unstemmed	Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique
title_sort	optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique
granting_institution	Universiti Teknologi Malaysia
granting_department	Electrical Engineering
publishDate	2017
url	http://eprints.utm.my/id/eprint/81802/1/MozhdeHeydarianaslPFKE2017.pdf
_version_	1747818417704927232

Optimization of electrostatic sensor for velocity measurement based on particle swarm optimization technique

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