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Applications of CONMIN to wing design optimization with vortex flow effectSlender wings on supersonic cruise configurations are expected to be thin and highly swept. As a result, edge-separated vortex flow is inevitable and must be accounted for in aerodynamic analysis and design. The present method is based on the method of suction analogy to calculate the total aerodynamic characteristics. The method requires the solution of the attached flow problem, the latter being solved by a low-order panel method in subsonic and supersonic flow. In essence, the lifting pressure is calculated by using a pressure-doublet distribution satisfying the Prandtl-Glauert equation. From the pressure distribution, the leading-edge suction is calculated. The latter is assumed to be the vortex lift through the method of suction analogy. For a cambered wing, the location of vortex-lift action point is important in predicting the aerodynamic characteristics. It is also seen that the effect of camber shape appears nonlinearly in all aerodynamic expressions. To design the camber shape, the camber slope is represented by a cosine Fourier series at each of several spanwise stations. The Fourier coefficients are the design variables. To design a leading-edge flap in the vortex flow (i.e., a vortex flap), the coordinates of corner points and the deflection angle are the design variables. The process of wing design is to determine the camber shape and twist distribution such that an objective function, typically the drag, is minimized, subject to various constraints.
Document ID
19870002304
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Lan, C. E. (Kansas Univ. Lawrence, KS, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1984
Publication Information
Publication: NASA. Langley Research Center Recent Experiences in Multidisciplinary Analysis and Optimization, Part 1
IDRelationTitle19870002284Collected WorksRecent Experiences in Multidisciplinary Analysis and Optimization, part 119870002284Collected WorksRecent Experiences in Multidisciplinary Analysis and Optimization, part 1