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Shape optimization for delay of laminar-turbulent transition
Swedish Defence Research Agency.ORCID iD: 0000-0002-5913-5431
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2006 (English)In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 44, no 5, 1009-1024 p.Article in journal (Refereed) Published
Abstract [en]

A method using gradient-based optimization is introduced for the design of wing profiles with the aim of natural laminar How, as well as minimum wave drag. The Euler equations of gasdynamics, the laminar boundary-layer equations for compressible flows on infinite swept wings, and the linear parabolized stability equations (PSE) are solved to analyze the evolution of convectively unstable disturbances. Laminar-turbulent transition is assumed to be delayed by minimizing a measure of the disturbance kinetic energy of a chosen disturbance, which is computed using the PSE. The shape gradients of the disturbance kinetic energy are computed based on the solutions of the adjoints of the state equations just named. Numerical tests are carried out to optimize the RAE 2822 airfoil with the aim to delay simultaneously the transition, reduce the pressure drag coefficient, and maintain the coefficients of lift and pitch moments. Constraints are also applied on the geometry. Results show a reduction of the total amplification of a large number of disturbances, which is assumed to represent a delay of the transition in the boundary layer. Because delay of the transition implies reduction of the viscous drag, the present method enables shape optimization to perform viscous drag reduction.

Place, publisher, year, edition, pages
2006. Vol. 44, no 5, 1009-1024 p.
Keyword [en]
parabolized stability equations, disturbance control, boundary-layers, steady suction, design, flows, model
National Category
Aerospace Engineering
URN: urn:nbn:se:kth:diva-15670DOI: 10.2514/1.12431ISI: 000237492000010ScopusID: 2-s2.0-33744763340OAI: diva2:333712
QC 20120511Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2012-05-11Bibliographically approved

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Hanifi, ArdeshirHenningson, Dan S.
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Stability, Transition and Control
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