期刊
IEEE ACCESS
卷 9, 期 -, 页码 138144-138159出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3115974
关键词
Electrodes; Focusing; Mathematical models; Three-dimensional displays; Fluids; Dielectrophoresis; Voltage; Dielectrophoresis; focusing; finite difference method; microfluidics; modeling; microelectrodes; Navier-Stokes equations; transducers
资金
- Zayed Center for Health Sciences at UAEU [31R226]
This paper presents a mathematical model of a dielectrophoretic microdevice with planar corrugated electrodes for focusing micro-particles in a micro-scale flow passage. The model considers various phenomena influencing particle focusing and parametric study reveals the dependence of performance metrics on geometric and operating parameters. The model allows for determining desired performance metrics based on constraints and is validated using experimental data.
This paper conceptualizes and mathematically models a dielectrophoretic microdevice with planar corrugated electrodes for focusing micro-particles at any lateral location along the width of the micro-scale flow passage; two of these electrodes are placed on the top and bottom surfaces of the micro-scale flow passage with the electrodes on the top and bottom aligned with each other to form a pair. The mathematical model includes equations of motion, Navier-Stokes equations, and equations of electric voltage and field and considers the influence of several phenomena, including inertia, sedimentation, drag, virtual mass and dielectrophoresis on the focusing of micro-particles. The mathematical model is solved using the finite difference method. The mathematical model is used for parametric study, thereby revealing that the performance metrics related to focusing depend on the geometric (micro-scale flow passage and electrode dimensions) and operating (applied electric voltages and volumetric flow rate) parameters of the microdevice. The mathematical model allows for determining the operating and geometric parameters for achieving the desired performance metrics based on constraints. The mathematical model is validated using experimental data from the literature.
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