Vivarelli, G., Qin, N. orcid.org/0000-0002-6437-9027, Shahpar, S. et al. (1 more author) (2020) Sequential feature‐based mesh movement and adjoint error‐based mesh refinement. International Journal for Numerical Methods in Fluids, 93 (1). pp. 249-272. ISSN 0271-2091
Abstract
Nowadays, aerodynamic computational modeling is carried out on a daily basis in an industrial setting. This is done with the aim of predicting the performance and flow characteristics of new components. However, limited resources in terms of time and hardware force the engineer to employ relatively coarse computational grids, thus achieving results with variable degree of inaccuracy. In this article, a novel combination of feature and adjoint‐based mesh adaptation methods is investigated and applied to typical three‐dimensional turbomachinery cases, such as compressor and fan blades. The proposed process starts by employing feature‐based mesh movement to improve the global flow solution and then adjoint refinement to tune the mesh for each quantity of interest. Comparison of this process with one utilizing only the adjoint refinement procedure shows significant benefits in terms of accuracy of the performance quantity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Rolls Royce PLC. International Journal for Numerical Methods in Fluids published by John Wiley & Sons, Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
Keywords: | adjoint error; feature‐based adaptation; mesh movement; mesh refinement; Riemannian metric; turbomachinery |
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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Oct 2020 13:24 |
Last Modified: | 24 May 2022 10:21 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/fld.4882 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166718 |