Airfoil optimization design based on a combined optimization strategy

DOI

10.2991/fmsmt-17.2017.109How to use a DOI?

Keywords

Airfoil, Combined optimization

Abstract

In order to improve the computational efficiency of the airfoil optimization design, a universal algorithm transformation strategy is proposed. The Multi-Island Genetic Algorithm and the Sequential Quadratic Programming are combined to take into account the global search and fast convergence characteristics. The Hicks-Henne airfoil parameterization method is improved to promote the accuracy of the airfoil tail. Based on the Isight optimization design platform, the airfoil optimization system is built up in a modular way. The multi constraint optimization design of RAE2822 airfoil with lift drag ratio as objective function is presented. The experimental results show that the combined optimization algorithm can reduce the computational complexity and improve the efficiency of optimization.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pengbao Ma
AU  - Jianqiao Yu
AU  - Fangzheng Chen
AU  - Zheyu Xue
PY  - 2017/04
DA  - 2017/04
TI  - Airfoil optimization design based on a combined optimization strategy
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 529
EP  - 537
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.109
DO  - 10.2991/fmsmt-17.2017.109
ID  - Ma2017/04
ER  -