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Optimization of Nano-Rotor Blade Airfoil Usinf Controlled Elitist NSGA-II

Liu, Zhen and Dong, Longlei and Moschetta, Jean-Marc and Zhao, Jianping and Yan, Guirong Optimization of Nano-Rotor Blade Airfoil Usinf Controlled Elitist NSGA-II. (2014) International Journal of Micro Air Vehicles, 6 (1). 29-42. ISSN 1756-8293

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Official URL: http://dx.doi.org/10.1260/1756-8293.6.1.29

Abstract

The aerodynamic performance of airfoil at ultra-low Reynolds number has a great impact on the propulsive performance of nano rotor. Therefore, the optimization of airfoil is necessary before the design of nano rotor. Nano rotor blade airfoil optimization is a multi-objective problem since the airfoil suffers a wide range of Reynolds number which increases the difficulty of optimization. In this paper, the airfoil of nano rotor was optimized based on the controlled elitist Non-dominated Sorting Genetic Algorithm II (NSGA-II) coupling with the parameterization method of Class function/Shape function Transformation technique (CST) and the multi-objectives function processing method of statistical definition of stability. An airfoil was achieved with the thickness of 2% and the maximum camber of 5.6% at 2/3 of chord. Airfoil optimized exhibits a good aerodynamic performance at ultra-low Reynolds number according to the computational results. And comparisons were carried out between the performance of the rotor designed with airfoil optimized and that of the rotor designed with AG38 airfoil, which showed that the airfoil optimized was suitable for rotor design.

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Xi'an Jiaotong University - XJTU (CHINA)
Laboratory name:
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Deposited By: Jean-Marc MOSCHETTA
Deposited On:21 Jul 2014 08:22

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