On multi-objective optimization of geometry of staggered herringbone micromixer

Cesar Cortes Quiroz, Mehrdad Zangeneh, Akira Goto

    Research output: Contribution to journalArticlepeer-review

    51 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)29-43
    Number of pages15
    JournalMicrofluidics and Nanofluidics
    Issue number1
    Publication statusPublished - Jul 2009


    • Design of experiments
    • Multi-objective genetic algorithm
    • Multi-objective optimization
    • Response surface
    • Staggered Herringbone Micromixer
    • DESIGN
    • MIXER
    • FLOW


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