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Open AccessArticle

Single and Multi-Objective Optimization of a Three-Dimensional Unbalanced Split-and-Recombine Micromixer

Department of Mechanical Engineering, Inha University, Incheon 22212, Korea
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Author to whom correspondence should be addressed.
Micromachines 2019, 10(10), 711; https://doi.org/10.3390/mi10100711
Received: 28 September 2019 / Revised: 14 October 2019 / Accepted: 18 October 2019 / Published: 21 October 2019
(This article belongs to the Special Issue Optimization of Microfluidic Devices)
The three-dimensional geometry of a micromixer with an asymmetrical split-and-recombine mechanism was optimized to enhance the fluid-mixing capability at a Reynolds number of 20. Single and multi-objective optimizations were carried out by using particle swarm optimization and a genetic algorithm on a modeled surrogate surface. Surrogate modeling was performed using the computational results for the mixing. Mixing and flow analyses were carried out by solving the convection–diffusion equation in combination with the three-dimensional continuity and momentum equations. The optimization was carried out with two design variables related to dimensionless geometric parameters. The mixing effectiveness was chosen as the objective function for the single-objective optimization, and the pressure drop and mixing index at the outlet were chosen for the multi-objective optimization. The sampling points in the design space were determined using a design of experiment technique called Latin hypercube sampling. The surrogates for the objective functions were developed using a Kriging model. The single-objective optimization resulted in 58.9% enhancement of the mixing effectiveness compared to the reference design. The multi-objective optimization provided Pareto-optimal solutions that showed a maximum increase of 48.5% in the mixing index and a maximum decrease of 55.0% in the pressure drop in comparison to the reference design. View Full-Text
Keywords: micromixers; unbalanced split-and-recombination; surrogate modeling; Navier–Stokes equations; single and multi-objective optimizations; mixing index micromixers; unbalanced split-and-recombination; surrogate modeling; Navier–Stokes equations; single and multi-objective optimizations; mixing index
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Raza, W.; Ma, S.-B.; Kim, K.-Y. Single and Multi-Objective Optimization of a Three-Dimensional Unbalanced Split-and-Recombine Micromixer. Micromachines 2019, 10, 711.

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