Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods

Dheeraj Agarwal; Simao Marques; Trevor Robinson; Cecil Armstrong; Philip Hewitt

doi:10.2514/6.2017-3999

Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods

Dheeraj Agarwal, Simao Marques, Trevor Robinson, Cecil Armstrong, Philip Hewitt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

Original language	English
Title of host publication	18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum: Proceedings
Number of pages	14
DOIs	https://doi.org/10.2514/6.2017-3999
Publication status	Published - 01 May 2017

Publication series

Name	AIAA Aviation Forum
Publisher	Aerospace research Central

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Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods
© 2017 American Institute of Aeronautics and Astronautics. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 6.32 MBLicence: Unspecified

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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.",

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Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods. / Agarwal, Dheeraj; Marques, Simao; Robinson, Trevor; Armstrong, Cecil; Hewitt, Philip.

18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum: Proceedings. 2017. (AIAA Aviation Forum).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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