Aerodynamic Shape Optimization Using Feature based CAD systems and Adjoint Methods
| Main Authors: | Agarwal, Dheeraj, Simao, Marques, Robinson, Trevor T., Armstrong, Cecil G.,, Hewitt, Philip, |
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| Format: | info Proceeding Journal |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/815470 |
Daftar Isi:
- 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.