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Title: Optimum driving condition for lift creating cylinder by plasma actuators based on wind tunnel evaluation-based design

Authors: Masahiro Kanazaki; Takashi Matsuno; Kengo Maeda; Hiromitsu Kawazoe

Addresses: Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan ' Graduate School of Engineering, Tottori University, Tottori, Japan ' Graduate School of Engineering, Tottori University, Tottori, Japan ' Graduate School of Engineering, Tottori University, Tottori, Japan

Abstract: Kriging-based genetic algorithm (GA) was employed to optimise the parameters of the operating conditions of plasma actuators (PAs). In this study, the lift maximisation problem around a circular cylinder was considered. Two PAs were installed on the upper and the lower side of the cylinder. This problem was similar to the airfoil design, because the circular has potential to work as airfoil due to the control of flow circulation by the PAs with four design parameters. The aerodynamic performance was assessed by wind tunnel testing to overcome the disadvantages of time-consuming numerical simulations. The developed optimisation system explores the optimum waveform of parameters for AC voltage by changing the waveform automatically. Based on these results, optimum designs and global design information were obtained while drastically reducing the number of experiments required compared to a full factorial experiment. An analysis of variance and a scatter plot matrix were introduced for design knowledge discovery. According to the discovered design knowledge, it was found that duty ratios for two PAs are an important parameter to create lift.

Keywords: plasma actuators; genetic algorithms; efficient global optimisation; EGO; experimental evaluation; optimisation; driving conditions; lift maximisation; circular cylinders; wind tunnel testing; kriging; airfoil design; aerodynamic performance; aerodynamics; analysis of variance; ANOVA; scatter plot matrix; lift generation.

DOI: 10.1504/IJAL.2016.074913

International Journal of Automation and Logistics, 2016 Vol.2 No.1/2, pp.45 - 59

Received: 02 Feb 2015
Accepted: 06 Jun 2015

Published online: 24 Feb 2016 *

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