@inproceedings{7d067b164e72482d9edd878c4168fbf7,
title = "Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods",
abstract = "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.",
author = "Dheeraj Agarwal and Simao Marques and Trevor Robinson and Cecil Armstrong and Philip Hewitt",
year = "2017",
month = may,
day = "1",
doi = "10.2514/6.2017-3999",
language = "English",
isbn = "978-1-62410-507-4",
series = "AIAA Aviation Forum",
publisher = "Aerospace research Central",
booktitle = "18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum: Proceedings",
}