论文期刊

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




作者: Zhen Liu, Longlei Dong, Jean-marc Moschetta
发表/完成日期: 2014-03-04
期刊名称: International Journal of Micro Air Vehicles
期卷: 6(1)
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论文简介
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.