Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods

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    This paper presents a CAD-based optimization framework using adjoint functions for aerodynamic design. In this work, the SU2 code is used to obtain high-fidelity flow solutions and surface sensitivities using adjoint methods. This work proposes methodologies to exploit CAD models created using standard commercial modelling software like CATIA V5 in the optimization workflow. A formulation to obtain geometric sensitivities is introduced, enabling the calculation of gradients with respect to these CAD variables. The performance and robustness of the optimization framework is assessed using a range of inviscid and viscous problems. The results show the CAD parameterisation can be efficiently used in obtaining reliable optimums, while operating directly on feature based CAD systems.



    Original languageEnglish
    Title of host publication18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum: Proceedings
    Number of pages14
    Publication statusPublished - 01 May 2017

    Publication series

    NameAIAA Aviation Forum
    PublisherAerospace research Central

    ID: 131378216