AIAA Aerospace Sciences Meeting, 2018 2018年 American Institute of Aeronautics and Astronautics Inc, AIAA
The present study experimentally proposes separation control around a pitching airfoil with burst (duty cycle) actuation of a wide range of the burst frequency using a dielectric barrier discharge plasma actuator. Experiments are conducted using a two dimensional NACA0015 (c = 100 mm) airfoil with the chord based Reynolds number of 63,000. The airfoil pitches from 5 deg to 25 deg with fluctuation frequency of 2 Hz corresponding to reduced frequency of 0.02π. A plasma actuator are installed at the leading edge and driven in continuous and burst modes with F+ = 0.5 - 60. Flow field is evaluated with unsteady pressure measurement. From the results, three control effects 1) delay of dynamic stall, 2) CL increase in the pitch-down phase, and 3) promotion of reattachment in the pitch-down stage are observed in burst actuation for a pitching airfoil.
Takuya Harada, Koji Fujita, Akira Oyama, Hiroya Mamori, Makoto Yamamoto
AIAA Aerospace Sciences Meeting, 2018 2018年 American Institute of Aeronautics and Astronautics Inc, AIAA
Aerodynamics optimization of airfoil for flying-wing type Mars airplane is conducted to show tradeoff between maximization of aerodynamic performance and stability requirement. To see the tradeoff between the two objectives, a multiobjective evolutionary algorithm is used where aerodynamic performance of each airfoil is evaluated with a two-dimensional laminar Navier-Stokes flow solver. Some design constraints are applied to obtain feasible airfoil shapes. The obtained Pareto-optimal airfoils show tradeoff between the two design objectives. Analysis of the flow field of the obtained airfoils leads to some useful knowledge in designing airfoil for flying-wing type Mars airplane.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018年 Springer Verlag
A generic framework for incorporating constraint handling techniques (CHTs) into multi-objective evolutionary algorithms (MOEAs) is proposed to resolve the differences between MOEAs from algorithmic and implementation perspective with respect to the incorporation of CHTs. To verify the effectiveness of the proposed framework, the performances of the combined algorithms of five CHTs and four MOEAs on eight constrained multi-objective optimization problems are investigated with the proposed framework. The experimental results show that the outperforming CHT can vary by constrained multi-objective optimization problems, as far as examined in this study.