University of Hertfordshire

From the same journal

On multi-objective optimization of geometry of staggered herringbone micromixer

Research output: Contribution to journalArticlepeer-review

  • Cesar Cortes Quiroz
  • Mehrdad Zangeneh
  • Akira Goto
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Original languageEnglish
Pages (from-to)29-43
Number of pages15
JournalMicrofluidics and Nanofluidics
Volume7
Issue1
DOIs
Publication statusPublished - Jul 2009

Abstract

A design methodology for micromixers is presented which systematically integrates computational fluid dynamics (CFD) with an optimization methodology based on the use of design of experiments (DOE), function approximation technique (FA) and multi-objective genetic algorithm (MOGA). The methodology allows the simultaneous investigation of the effect of geometric parameters on the mixing performance of micromixers whose design strategy is based fundamentally on the generation of chaotic advection. The methodology has been applied on a Staggered Herringbone Micromixer (SHM) at several Reynolds numbers. The geometric features of the SHM are optimized and their effects on mixing are evaluated. The degree of mixing and the pressure drop are the performance criteria to define the efficiency of the micromixer for different design requirements.

ID: 679952