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Proceedings Paper

Simulation and visualization of velocity fields in simple electrokinetic devices
Author(s): Prasun Mahanti; Thomas Taylor; Douglas Cochran; Michael Keebaugh; Mark A. Hayes
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Paper Abstract

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.

Paper Details

Date Published: 3 February 2014
PDF: 10 pages
Proc. SPIE 9017, Visualization and Data Analysis 2014, 90170M (3 February 2014); doi: 10.1117/12.2042524
Show Author Affiliations
Prasun Mahanti, Arizona State Univ. (United States)
Thomas Taylor, Arizona State Univ. (United States)
Douglas Cochran, Arizona State Univ. (United States)
Michael Keebaugh, Arizona State Univ. (United States)
Mark A. Hayes, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 9017:
Visualization and Data Analysis 2014
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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