Numerical simulations and experiments are used to evaluate the flow and mixing characteristics of a proposed convective 3-D T-type micromixer. The study presents a parametric study and performance optimization of this micromixer based on the variation of its geometry. To investigate the effect of design and operation parameters on the device performance, a systematic design and optimization methodology is applied; it combines Computational Fluid Dynamics (CFD) with an optimization strategy that integrates Design of Experiments (DOE), Surrogate modeling (SM) and Multi-Objective Genetic Algorithm (MOGA) techniques. The degree of mixing and the pressure loss in the mixing channel are the performance criteria to identify optimum designs at different Reynolds numbers (Re). The convective flow generated in the 3-D T-type micromixer drastically enhances mixing at Re > 100 by making the two fluids to roll up along the mixing channel. The resulting optimum designs are fabricated on polymethylmethacrylate (PMMA) by CNC micromachining. Experiments are carried out to visualize the streams of de-ionized water and aqueous fluorescein solution, by which the extent of mixing is determined, based on the standard deviation of fluorescein intensities on cross-section images. This study applies a systematic procedure for evaluation and optimization of a proposed 3-D T-mixer which has a configuration of channels that promote convective mixing since the two fluids come into contact. The methodology applied can also be used to efficiently modify and customize current micromixers.
Skip Nav Destination
ASME 2010 8th International Conference on Nanochannels, Microchannels, and Minichannels collocated with 3rd Joint US-European Fluids Engineering Summer Meeting
August 1–5, 2010
Montreal, Quebec, Canada
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5450-1
PROCEEDINGS PAPER
Characterization and Optimization of a Three-Dimensional T-Type Micromixer for Convective Mixing Enhancement With Reduced Pressure Loss Available to Purchase
Cesar A. Cortes-Quiroz,
Cesar A. Cortes-Quiroz
University College London, London, UK
Search for other works by this author on:
Alireza Azarbadegan,
Alireza Azarbadegan
University College London, London, UK
Search for other works by this author on:
Mehrdad Zangeneh
Mehrdad Zangeneh
University College London, London, UK
Search for other works by this author on:
Cesar A. Cortes-Quiroz
University College London, London, UK
Alireza Azarbadegan
University College London, London, UK
Mehrdad Zangeneh
University College London, London, UK
Paper No:
FEDSM-ICNMM2010-31257, pp. 1357-1364; 8 pages
Published Online:
March 1, 2011
Citation
Cortes-Quiroz, CA, Azarbadegan, A, & Zangeneh, M. "Characterization and Optimization of a Three-Dimensional T-Type Micromixer for Convective Mixing Enhancement With Reduced Pressure Loss." Proceedings of the ASME 2010 8th International Conference on Nanochannels, Microchannels, and Minichannels collocated with 3rd Joint US-European Fluids Engineering Summer Meeting. ASME 2010 8th International Conference on Nanochannels, Microchannels, and Minichannels: Parts A and B. Montreal, Quebec, Canada. August 1–5, 2010. pp. 1357-1364. ASME. https://doi.org/10.1115/FEDSM-ICNMM2010-31257
Download citation file:
23
Views
Related Proceedings Papers
Related Articles
Design of Experiments to Investigate Geometric Effects on Fluid Leakage Rate in a Balance Drum Seal
J. Eng. Gas Turbines Power (March,2015)
Extending Classical Friction Loss Modeling to Predict the Viscous Performance of Pumping Devices
J. Fluids Eng (October,2019)
An Optimum Design Approach for Textured Thrust Bearing With Elliptical-Shape Dimples Using Computational Fluid Dynamics and Design of Experiments Including Cavitation
J. Eng. Gas Turbines Power (September,2017)
Related Chapters
Completing the Picture
Air Engines: The History, Science, and Reality of the Perfect Engine
Numerical Simulation Research on a Fixed Bed Gasifier
International Conference on Information Technology and Management Engineering (ITME 2011)
Regression
Engineering Optimization: Applications, Methods, and Analysis