Optimization of a Micromixer with Two‐Layer Serpentine Crossing Channels at Multiple Reynolds Numbers. Issue 12 (18th October 2017)

• Record Type: Journal Article
• Authors: Hossain, Shakhawat; Kim, Kwang-Yong
• Is Part Of: Chemical engineering & technology. Volume 40:Issue 12(2017)
• Page Start: 2212
• Page End: 2220
• Publication Date: 2017-10-18
• Subjects: Micromixer -- Mixing index -- Multi‐objective optimization -- Navier‐Stokes equations -- Pressure drop; Chemical engineering -- Periodicals; Chemical processes -- Periodicals; 660.05
• DOI: 10.1002/ceat.201700437
• Languages: English
• ISSNs: 0930-7516

Abstract

Abstract: Multiobjective optimizations of a micromixer with two‐layer serpentine crossing channels were performed at two different Reynolds numbers by using a multiobjective genetic algorithm and surrogate modeling based on a Navier‐Stokes analysis. The optimizations included three dimensionless design variables, namely, ratios of the diagonal channel width to the pitch length, the main channel width to the pitch length, and the channel depth to the pitch length. The design space was confirmed by a parametric study, and the Latin hypercube sampling technique was used to select design points within the design space. The Kriging meta‐model was applied for surrogate modeling of the objective functions. Concave Pareto‐optimal fronts representing the trade‐offs between the objective functions were obtained through the optimizations. Abstract : In order to enhance further the mixing performance of a formerly proposed micromixer, multiobjective optimizations at low and high Reynolds numbers were accomplished by multiobjective genetic algorithm and surrogate modeling based on 3D Navier‐Stokes analysis. The data provided various options for the design of a micromixer by considering mixing performance, pressure drop, and Reynolds number.