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3 D optimization - Research Paper Example

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A mesh morpher algorithm is used in conjunction to a direct search optimization algorithm in order to optimize the aerodynamics…
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3 D optimization
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Download file to see previous pages Problems in 3-D dynamics are usually tackled using a combination of different fundamental approaches. These approaches include experimental fluid dynamics, theoretical fluid dynamics and computational fluid dynamics (CFD). CFD is what has opened the ‘three approach’ in the field of aerodynamics. CFD has had a big role to play in the analysis of aerodynamic configurations so as to aid the design process. The availability of high performance computing platforms have also aided in the development of aerodynamics (Reuther, Alonso & Jameson 1996).
Both the mesh morpher algorithm and the direct search algorithm are gradient based optimization techniques. When using these designs in a 3D element optimization airfoil, the control function is parameterized with some set of design variables and a suitable cost function is either minimized or maximized. In order to show the dependence between the cost function and control function governing equations are introduced. The sensitivity derivatives of the cost function in retrospect to design variables are introduced in order to get a direction of improvement. The convergence to a minimum or maximum is achieved when the procedure is repeated. A fast and accurate way of calculating the necessary gradient information is imperative in developing a design that is effective and this is often the most time consuming part in the design algorithm. Therefore, this should be put into consideration when a very large number of design variables as in the case of the three dimensional wing shape design are concerned.
The plan of this research strategy is to produce 3D multi-element airfoil design and optimization mechanism that can adapt a model (3D airfoil) delivering enhanced aerodynamic performance in terms of maximizing lift to drag ratio under landing and takeoff flight situation (Reuther, Alonso & Jameson 1996).
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