Hinchliffe, B.L. and Qin, N. orcid.org/0000-0002-6437-9027 (2016) Using surface sensitivity from mesh adjoint solution for transonic wing drag reduction. In: 54th AIAA Aerospace Sciences Meeting. 54th AIAA Aerospace Sciences Meeting, 04-08 Jan 2016, San Diego, CA. AIAA
Abstract
Shock control bumps are a promising device for improving the aerodynamic efficiency of transonic aircraft. From the literature, the peak location and bump height are the most sensitive parameters, therefore the deployment position and size of the shock control bump are key factors. When placing a flow control device it is highly dependent on the designers’ experience and their view of the area where the device will be most effective. In this paper, the mesh adjoint approach is employed to identify the regions where the drag coefficient is sensitive to a change of the wing surface. An array of shock control bumps are then deployed in the areas of sensitivity and optimized using a gradient based approach. In addition to the sensitivity in the shock regions a non-shock region is identified using the sensitivity map on the wing. This region is not identified in other plots such as pressure or skin friction and could be overlooked by a designer without the sensitivity map. The results show that the mesh adjoint approach successfully identifies the drag sensitive areas on the upper wing and assists in the deployment of the bump arrays quickly, and the class/shape function transformation (CST) bump provides a highly flexible design space, with a large number of design variables, to achieve an optimal solution.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 AIAA. This is an author produced version of a paper subsequently published in AIAA SciTech Forum. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number AIRBUS UK LIMITED 1100073482 AIRBUS UK LIMITED AI-ECM090883 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Nov 2016 15:01 |
Last Modified: | 21 Mar 2018 18:07 |
Published Version: | https://doi.org/10.2514/6.2016-0560 |
Status: | Published |
Publisher: | AIAA |
Refereed: | Yes |
Identification Number: | 10.2514/6.2016-0560 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103836 |