Shape optimization of a feedback-channel fluidic oscillator

• Main Authors: Han-Sol Jeong, Kwang-Yong Kim
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2018-01-01
• Series: Engineering Applications of Computational Fluid Mechanics
• Subjects: Fluidic oscillator; multi-objective optimization; unsteady Reynolds-averaged Navier-Stokes equations; response surface approximation; Kriging; Pareto-optimal solutions
• Online Access: http://dx.doi.org/10.1080/19942060.2017.1379441

In this study, a fluidic oscillator was optimized based on the three-dimensional unsteady Reynolds-averaged Navier-Stokes analysis to enhance peak jet velocity at the outlet and simultaneously reduce pressure drop. A multi-objective genetic algorithm performed the optimization with surrogate modeling. The ratios of the inlet nozzle width and the distance between the splitters to the throat width were chosen as the design variables. And, two objective functions related to peak jet velocity at the outlet and pressure drop through the fluidic oscillator were selected for the optimization. Ten design points were selected in the design space using a Latin hypercube sampling method; the objective functions were calculated by unsteady Reynolds-averaged Navier-Stokes analysis at these design points to construct surrogate models that were used to approximate the objective functions. Two different surrogate models, namely response surface approximation and Kriging models were tested. Pareto-optimal front representing a compromise between the two objective functions was obtained from the multi-objective optimization. The optimization results indicated that a jet velocity-oriented optimum design increased the peak jet velocity ratio at the outlet and the friction factor by 11.18% and 16.82%, respectively, when compared to those of a friction factor-oriented design.