Title :
In-Channel Constriction Valve for Cerebrospinal Fluid Sampling
Author :
Facchin, Stefano ; Miled, Mohamed Amine ; Sawan, Mohamad
Author_Institution :
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Montréal, QC, Canada
Abstract :
This paper describes a new multiphase modeling for oil bubble actuation in microchannel with cerebrospinal fluid (CSF). The sampling method is based on an oil droplet microvalve to measure the conductivity and impedance of the CSF in a non-moving liquid. The proposed system was simulated using the finite element software Comsol Multiphysics. For the fluidic modeling and simulation, the multiphase flow level set package of Comsol was used to describe the interaction between oil and CSF. Regarding the electric force computation, the Maxwell stress tensor was explicitly computed in Comsol and then coupled to the fluid dynamics. The values of permittivity of oil (εoil) and CSF (εCSF) were used, respectively, 2.2 and 109. Simulation results show the actuation of an oil droplet inside a constriction valve, demonstrating the operation of the sampling system.
Keywords :
bioelectric phenomena; biological fluid dynamics; biomedical equipment; bubbles; electric impedance measurement; electrical conductivity measurement; finite element analysis; microchannel flow; microvalves; multiphase flow; oils; permittivity; software packages; CSF; Maxwell stress tensor; cerebrospinal fluid sampling; electric force computation; electrical conductivity measurement; electrical impedance measurement; finite element software Comsol Multiphysics; fluid dynamics; fluidic simulation; in-channel constriction valve; microchannel; multiphase flow level set package; multiphase modeling; nonmoving liquid; oil bubble actuation; oil droplet; oil droplet microvalve; permittivity; Electrodes; Force; Liquids; Permittivity; Tensile stress; Valves; Electromagnetic modeling; fluid flow control; microfluidics; microvalves;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2014.2356594