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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/6877

Title: Optimized multi-objective design of herringbone micromixers
Authors: Cortes-Quiroz, CA
Zangeneh, M
2nd Micro and Nano Flows Conference (MNF2009)
Keywords: Herringbone micromixer
Multi-objective optimization
Design of experiments
Genetic algorithm
Publication Date: 2009
Publisher: Brunel University
Citation: 2nd Micro and Nano Flows Conference, Brunel University, West London, UK, 01-02 September 2009
Abstract: A design method which systematically integrates Computational Fluids Dynamics (CFD) with an optimization scheme based on the use of the techniques Design of Experiments (DOE), Function Approximation technique (FA) and Multi-Objective Genetic Algorithm (MOGA), has been applied to the shape optimization of the staggered herringbone micromixer (SHM) at different Reynolds numbers. To quantify the mixing intensity in the mixer a Mixing index is defined on the basis of the intensity of segregation of the mass concentration on the outlet section. Four geometric parameters, i.e., aspect ratio of the mixing channel, ratio of groove depth to channel height, ratio of groove width to groove pitch and the asymmetry factor (offset) of groove, are the design variables selected for optimization. The mixing index at the outlet section and the pressure drop in the mixing channel are the performance criteria used as objective functions. The Pareto front with the optimum trade-offs, maximum mixing index with minimum pressure drop, is obtained. Experiments for qualitative and quantitative validation have been implemented.
Description: This paper was presented at the 2nd Micro and Nano Flows Conference (MNF2009), which was held at Brunel University, West London, UK. The conference was organised by Brunel University and supported by the Institution of Mechanical Engineers, IPEM, the Italian Union of Thermofluid dynamics, the Process Intensification Network, HEXAG - the Heat Exchange Action Group and the Institute of Mathematics and its Applications.
Sponsorship: This study is supported by the Dorothy Hodgkin Postgraduate Award (DHPA) of the Engineering and Physical Sciences Research Council (EPSRC) of United Kingdom and Ebara Research Co. Ltd. of Japan.
URI: http://bura.brunel.ac.uk/handle/2438/6877
ISBN: 978-1-902316-72-7
978-1-902316-73-4
Appears in Collections:Brunel Institute for Bioengineering (BIB)
The Brunel Collection

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