Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application

Micropumps are one of the most important components of microfluidic and microelectromechanical system (MEMS) because of the ability to transport fluids in microscale and have the control of the flow rate in an accurate and efficient manner. Various designs and approaches are suggested in order to de...

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Format:	Thesis
Language:	English
Subjects:	Microfluidics Microelectromechanical systems Genetic algorithms Micropumps Valveless micropumps Valveless micropumps > Design and constructions
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/4/Aida%20fatehah.pdf
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spelling	my-unimap-770552022-11-17T01:32:35Z Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application Nurul Izza, Mohd Nor, Dr. Micropumps are one of the most important components of microfluidic and microelectromechanical system (MEMS) because of the ability to transport fluids in microscale and have the control of the flow rate in an accurate and efficient manner. Various designs and approaches are suggested in order to develop a high performance micropump. This thesis presents the optimization method of valveless micropump utilizing the implementation of artificial intelligence (AI) approaches. The valveless micropump is designed with a diaphragm, pumping chamber and diffuser/nozzle elements functions as inlet and outlet with the outer dimension of 5 × 1.75 × 5 mm3. The implementation of structure optimization of valveless micropump is important in order to determine the maximum net flow rate that can be generated by the micropump with low power consumption. In order to determine the performance of the micropump, the total deformation, strain energy, equivalent stress, resonant frequency for diaphragm, fluid velocity and net flow rate of the micropump are investigated. Optimum back pressure for the diaphragm of valveless micropump was obtained through the result assessment. Optimization is done to maximize the total deformation, velocity, net flow rate and minimize the strain energy, equivalent stress and resonant frequency of the micropump. In order to evaluate the performance of the micropumps for medical application, a fitness function is constructed to evaluate the design variables of micropump structure. By executing optimization tools in conjunction with finite element analysis (FEA) software ANSYS workbench, the simulation and optimization model is able to find out the optimum micropump design parameters. The presented valveless micropumps are optimized in three deferent optimization methods which are genetic algorithm (GA), particle swarm optimization (PSO) and hybrid PSO with GA (denoted as HPSO-GA). Simulation results obtained are compared and investigated for the three optimization methods. From the research, simulation results show that the proposed HPSO-GA provide better solution for micropump performance. Results obtained through the developed model of HPSO-GA optimization stated that the maximum total deformation of the diaphragm is 8.4797 μm with 8 kPa actuation pressure and optimum net flow rate is 3.89 mL/min with velocity of 4.796 m/s. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77055 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/1/Page%201-24.pdf 69de77b214e2e525b49d375fa7d32c8b http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/2/Full%20text.pdf 96b492462b1ac39a1d198dfa2730b85d http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/4/Aida%20fatehah.pdf 4ba10429bce6c330bdf172a3633976bf Universiti Malaysia Perlis (UniMAP) Microfluidics Microelectromechanical systems Genetic algorithms Micropumps Valveless micropumps Valveless micropumps -- Design and constructions School of Microelectronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Nurul Izza, Mohd Nor, Dr.
topic	Microfluidics Microelectromechanical systems Genetic algorithms Micropumps Valveless micropumps Valveless micropumps -- Design and constructions
spellingShingle	Microfluidics Microelectromechanical systems Genetic algorithms Micropumps Valveless micropumps Valveless micropumps -- Design and constructions Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application
description	Micropumps are one of the most important components of microfluidic and microelectromechanical system (MEMS) because of the ability to transport fluids in microscale and have the control of the flow rate in an accurate and efficient manner. Various designs and approaches are suggested in order to develop a high performance micropump. This thesis presents the optimization method of valveless micropump utilizing the implementation of artificial intelligence (AI) approaches. The valveless micropump is designed with a diaphragm, pumping chamber and diffuser/nozzle elements functions as inlet and outlet with the outer dimension of 5 × 1.75 × 5 mm3. The implementation of structure optimization of valveless micropump is important in order to determine the maximum net flow rate that can be generated by the micropump with low power consumption. In order to determine the performance of the micropump, the total deformation, strain energy, equivalent stress, resonant frequency for diaphragm, fluid velocity and net flow rate of the micropump are investigated. Optimum back pressure for the diaphragm of valveless micropump was obtained through the result assessment. Optimization is done to maximize the total deformation, velocity, net flow rate and minimize the strain energy, equivalent stress and resonant frequency of the micropump. In order to evaluate the performance of the micropumps for medical application, a fitness function is constructed to evaluate the design variables of micropump structure. By executing optimization tools in conjunction with finite element analysis (FEA) software ANSYS workbench, the simulation and optimization model is able to find out the optimum micropump design parameters. The presented valveless micropumps are optimized in three deferent optimization methods which are genetic algorithm (GA), particle swarm optimization (PSO) and hybrid PSO with GA (denoted as HPSO-GA). Simulation results obtained are compared and investigated for the three optimization methods. From the research, simulation results show that the proposed HPSO-GA provide better solution for micropump performance. Results obtained through the developed model of HPSO-GA optimization stated that the maximum total deformation of the diaphragm is 8.4797 μm with 8 kPa actuation pressure and optimum net flow rate is 3.89 mL/min with velocity of 4.796 m/s.
format	Thesis
title	Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application
title_short	Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application
title_full	Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application
title_fullStr	Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application
title_full_unstemmed	Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application
title_sort	development of hybrid ga-pso for optimal design of valveless micropump in biomediacal application
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Microelectronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77055/4/Aida%20fatehah.pdf
_version_	1776104229659738112

Development of Hybrid GA-PSO for optimal design of valveless micropump in biomediacal application

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