Journal
CHEMICAL ENGINEERING & TECHNOLOGY
Volume 40, Issue 12, Pages 2212-2220Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/ceat.201700437
Keywords
Micromixer; Mixing index; Multi-objective optimization; Navier-Stokes equations; Pressure drop
Categories
Funding
- Inha University
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available