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.
|Title of host publication||18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum: Proceedings|
|Number of pages||14|
|Publication status||Published - 01 May 2017|
|Name||AIAA Aviation Forum|
|Publisher||Aerospace research Central|
Agarwal, D., Marques, S., Robinson, T., Armstrong, C., & Hewitt, P. (2017). Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods. In 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum: Proceedings (AIAA Aviation Forum). https://doi.org/10.2514/6.2017-3999