Particle Swarm Optimization of Suction and Blowing on Airfoils at Transonic Speeds

Autor:	Bedri Yagiz, Osama A. Kandil, Y. Volkan Pehlivanoglu, Oktay Baysal
Rok vydání:	2010
Předmět:	Airfoil Suction business.industry Mass flow Aerospace Engineering Particle swarm optimization Mechanics Computational fluid dynamics Physics::Fluid Dynamics Supersonic speed Reynolds-averaged Navier–Stokes equations business Transonic Mathematics
Zdroj:	Journal of Aircraft. 47:1955-1965
ISSN:	1533-3868 0021-8669
DOI:	10.2514/1.c000233
Popis:	To improve the aerodynamic performance, the control applied to the transonic flow past an airfoil is optimized. The flow is simulated by solving the Navier–Stokes equations and a turbulence model. The control is applied using flow suction or blowing on the airfoil surface. The design variables are set to be the location and the angle of the suction/blowingport and themassflowcoefficient at this port. To validate the computationalmethodology, successful comparisons have beenmadewith available experimental data. The focus of the present study is on the application of a selected design optimization methodology. Therefore, the particle swarm optimization algorithm is also validated by comparing its results with those from a more traditional approach: that is, a gradient-based method with sequential quadratic programming. It is observed that the aerodynamic performance is increased by over 20% as a result of optimizing the location, angle, and mass flow coefficient of the suction and blowing control ports on the airfoil surface at transonic speeds.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8aeabe2d0b9e70b761455d4578e980d3 https://doi.org/10.2514/1.c000233 Zobrazit plný text záznamu