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3 February 2014 Simulation and visualization of velocity fields in simple electrokinetic devices
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Proceedings Volume 9017, Visualization and Data Analysis 2014; 90170M (2014)
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Capillary electrophoresis and similar techniques which use an electrified contracting-flow interface (gradient elution moving boundary electrophoresis, electrophoretic exclusion, for examples) are widely used, but the detailed flow dynamics and local electric field effects within this zone have only recently been quantitatively investigated. The motivating force behind this work is establishing particle flow based visualization tools enabling advances for arbitrary interfacial designs beyond this traditional flow/electric field interface. These tools work with pre-computed 2-dimensional fundamental interacting fields which govern particle and(or) fluid flow and can now be obtained from various computational fluid dynamics (CFD) software packages. The particle-flow visualization calculations implemented in the tool and are built upon a solid foundation in fluid dynamics. The module developed in here provides a simulated video particle observation tool which generates a fast check for legitimacy. Further, estimating the accuracy and precision of full 2-D and 3-D simulation is notoriously difficult and a centerline estimation is used to quickly and easily quantitate behaviors in support of decision points. This tool and the recent quantitative assessment of particle behavior within the interfacial area have set the stage for new designs which can emphasize advantageous behaviors not offered by the traditional configuration.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Prasun Mahanti, Thomas Taylor, Douglas Cochran, Michael Keebaugh, and Mark A. Hayes "Simulation and visualization of velocity fields in simple electrokinetic devices", Proc. SPIE 9017, Visualization and Data Analysis 2014, 90170M (3 February 2014);


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