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Grant: Discovery Grants Program - Individual

University of Western Ontario

$33,060.00

Numerical and analytical models in electrohydrodynamics and microfluidics

FY 2007-08

Summary
In many industrial and research processes there is an interaction between an electric field and flow of fluids or gases. Among others this happens in all applications involving small particles, for example in electrostatic precipitators used in environmental protection. A phenomenon called the electric corona discharge is typically generated to electrically charge the particles, so that electric forces can be used to control the particle's motion. The electric corona discharge is a complex physical process relying on avalanche ionization of the gas molecules, but it also results in motion of the ambient gas, called the secondary electrohydrodynamic flow, or ionic wind. This flow can be sometimes beneficial, but is often a nuisance disturbing the intended functioning of a device. In both cases numerical simulation can be helpful in garnering better understanding of these complex phenomena, and the design and optimization of electrostatic devices.   The proposed research program will first deal with the development of a new numerical algorithm and computer program, which can be used for simulation of the electric corona discharge. The algorithm will incorporate avalanche ionization, attachment and recombination, and all essential ionic reactions and species in pure gases and mixtures. An efficient and accurate corona model will be a prerequisite for the gas flow analysis. Another area where the fluid-electric field interaction plays an important role is microfluidics. Small amounts of fluid, either flowing continuously in a microchannel, or in the form of droplets, are handled in order to perform chemical microreactions. In the proposed research program, the dynamics of droplet deformation and transportation in digital microfluidics will be simulated numerically. Pumping of fluids in microfluidics can be achieved in many different ways and the most promising is based on the AC electroosmosis effect. Investigations of this effect published in the current literature are based on an extremely simplistic model. A new more complex model will be developed, which will take into account a more complete description of the process. Then a numerical algorithm will be created and the efficiency of fluid pumping will be investigated.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
105371-2007
Name nom
Adamiak, Kazimierz
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2007
Award amount
33060
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
335
Committee name en
Electromag. & Electr. Systems (H)
Committee name fr
Électromagn. et syst. électr. (H)
Area of application code
513
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Electrical and electronic machinery and equipment (including computer hardware)
Area of application fr
Machinerie et équipement électriques et électroniques (y compris matériel informatique)
Research subject code
2502
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electromagnetics
Research subject fr
Électromagnétisme
Partie
1
Nb partie
5
Application title
Numerical and analytical models in electrohydrodynamics and microfluidics
Keyword
NA
Application summary
In many industrial and research processes there is an interaction between an electric field and flow of fluids or gases. Among others this happens in all applications involving small particles, for example in electrostatic precipitators used in environmental protection. A phenomenon called the electric corona discharge is typically generated to electrically charge the particles, so that electric forces can be used to control the particle's motion. The electric corona discharge is a complex physical process relying on avalanche ionization of the gas molecules, but it also results in motion of the ambient gas, called the secondary electrohydrodynamic flow, or ionic wind. This flow can be sometimes beneficial, but is often a nuisance disturbing the intended functioning of a device. In both cases numerical simulation can be helpful in garnering better understanding of these complex phenomena, and the design and optimization of electrostatic devices.   The proposed research program will first deal with the development of a new numerical algorithm and computer program, which can be used for simulation of the electric corona discharge. The algorithm will incorporate avalanche ionization, attachment and recombination, and all essential ionic reactions and species in pure gases and mixtures. An efficient and accurate corona model will be a prerequisite for the gas flow analysis. Another area where the fluid-electric field interaction plays an important role is microfluidics. Small amounts of fluid, either flowing continuously in a microchannel, or in the form of droplets, are handled in order to perform chemical microreactions. In the proposed research program, the dynamics of droplet deformation and transportation in digital microfluidics will be simulated numerically. Pumping of fluids in microfluidics can be achieved in many different ways and the most promising is based on the AC electroosmosis effect. Investigations of this effect published in the current literature are based on an extremely simplistic model. A new more complex model will be developed, which will take into account a more complete description of the process. Then a numerical algorithm will be created and the efficiency of fluid pumping will be investigated.