A two dimensional simulation is made to analyse the mixing enhancement due to surface roughness and geometric modulation in a sufficiently long rectangular nano-channel filled with electrolyte solutions of different concentrations. Geometric modulation is made by mounting non-conducting rectangular blocks on the bottom wall of the channel. An overpotential patch is placed on the upper wall of each block to create surface heterogeneity. Based on a finite volume staggered grid approach, the flow characteristics and mixing efficiency are discussed by a complete numerical solution of coupled nonlinear set of PDEs involving Nernst-Planck equation for ion distribution, Navier-Stokes equation for velocity components and Maxwells equation for potential distribution. A linear pressure drop is observed above the overpotential region which creates a recirculating zone. Mixing efficiency is improved with increasing vortex strength which is enhanced by decreasing EDL (electric double layer) thickness and increasing overpotential patch strength.
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ASME 2017 Fluids Engineering Division Summer Meeting
July 30–August 3, 2017
Waikoloa, Hawaii, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5805-9
PROCEEDINGS PAPER
Assessment and Prediction of EOF Mixing in Binary Electrolytes
Abhishek Banerjee,
Abhishek Banerjee
Indian Institute of Technology Roorkee, Roorkee, India
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Ameeya Kumar Nayak
Ameeya Kumar Nayak
Indian Institute of Technology Roorkee, Roorkee, India
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Abhishek Banerjee
Indian Institute of Technology Roorkee, Roorkee, India
Ameeya Kumar Nayak
Indian Institute of Technology Roorkee, Roorkee, India
Paper No:
FEDSM2017-69524, V01BT10A016; 8 pages
Published Online:
October 24, 2017
Citation
Banerjee, A, & Nayak, AK. "Assessment and Prediction of EOF Mixing in Binary Electrolytes." Proceedings of the ASME 2017 Fluids Engineering Division Summer Meeting. Volume 1B, Symposia: Fluid Measurement and Instrumentation; Fluid Dynamics of Wind Energy; Renewable and Sustainable Energy Conversion; Energy and Process Engineering; Microfluidics and Nanofluidics; Development and Applications in Computational Fluid Dynamics; DNS/LES and Hybrid RANS/LES Methods. Waikoloa, Hawaii, USA. July 30–August 3, 2017. V01BT10A016. ASME. https://doi.org/10.1115/FEDSM2017-69524
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