Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization
This study delves into the discrete adjoint method, a powerful tool in high-fidelity aerodynamic shape optimization that efficiently computes derivatives of a target function for different design variables. It offers a theoretical exploration of its implementation as an innovative tool for calculati...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024014440 |
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| author | Efstratios L. Ntantis Vasileios Xezonakis |
| author_facet | Efstratios L. Ntantis Vasileios Xezonakis |
| author_sort | Efstratios L. Ntantis |
| collection | DOAJ |
| description | This study delves into the discrete adjoint method, a powerful tool in high-fidelity aerodynamic shape optimization that efficiently computes derivatives of a target function for different design variables. It offers a theoretical exploration of its implementation as an innovative tool for calculating partial derivatives (sensitivities) related to objective functions and design variables. It is implemented to a NACA0012 airfoil at a transonic speed. This designated test case is qualitatively evaluated, considering specified Mach number and Reynolds number values of 0.7 and 15.96 million, respectively. The standard Spalart-Allmaras turbulence model is adapted to improve computational cost efficiency. The results validate the efficiency of Discrete Adjoint with OpenFOAM, showcasing its capability to generate optimal configurations. The achieved optimized performance is evidenced by minimizing the drag coefficient value (Cd) to an impressive value of 0.00871, 62.2 % lower than the previous studies, thus securing a novelty. While this research does not consider the post-processing of sensitivity calculations, it enables the potential for future research. The primary target of this paper is to assess the educational and training needs of researchers, engineers, and graduate students, offering a comprehensive introduction to discrete adjoint aerodynamic design optimization, presenting a novel methodology, and contributing to future advancements in the design optimization field. |
| format | Article |
| id | doaj-art-b113e25ea114485a9c7119b32c85a64e |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-b113e25ea114485a9c7119b32c85a64e2024-12-19T10:58:29ZengElsevierResults in Engineering2590-12302024-12-0124103189Improving transonic performance with adjoint-based NACA 0012 airfoil design optimizationEfstratios L. Ntantis0Vasileios Xezonakis1Amity University Dubai, Dubai, UAE; Corresponding author.University of East London, Docklands Campus, London, UKThis study delves into the discrete adjoint method, a powerful tool in high-fidelity aerodynamic shape optimization that efficiently computes derivatives of a target function for different design variables. It offers a theoretical exploration of its implementation as an innovative tool for calculating partial derivatives (sensitivities) related to objective functions and design variables. It is implemented to a NACA0012 airfoil at a transonic speed. This designated test case is qualitatively evaluated, considering specified Mach number and Reynolds number values of 0.7 and 15.96 million, respectively. The standard Spalart-Allmaras turbulence model is adapted to improve computational cost efficiency. The results validate the efficiency of Discrete Adjoint with OpenFOAM, showcasing its capability to generate optimal configurations. The achieved optimized performance is evidenced by minimizing the drag coefficient value (Cd) to an impressive value of 0.00871, 62.2 % lower than the previous studies, thus securing a novelty. While this research does not consider the post-processing of sensitivity calculations, it enables the potential for future research. The primary target of this paper is to assess the educational and training needs of researchers, engineers, and graduate students, offering a comprehensive introduction to discrete adjoint aerodynamic design optimization, presenting a novel methodology, and contributing to future advancements in the design optimization field.http://www.sciencedirect.com/science/article/pii/S2590123024014440AerodynamicsOptimizationAirfoilFlow dynamicsOpenFOAM |
| spellingShingle | Efstratios L. Ntantis Vasileios Xezonakis Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization Results in Engineering Aerodynamics Optimization Airfoil Flow dynamics OpenFOAM |
| title | Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization |
| title_full | Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization |
| title_fullStr | Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization |
| title_full_unstemmed | Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization |
| title_short | Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization |
| title_sort | improving transonic performance with adjoint based naca 0012 airfoil design optimization |
| topic | Aerodynamics Optimization Airfoil Flow dynamics OpenFOAM |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024014440 |
| work_keys_str_mv | AT efstratioslntantis improvingtransonicperformancewithadjointbasednaca0012airfoildesignoptimization AT vasileiosxezonakis improvingtransonicperformancewithadjointbasednaca0012airfoildesignoptimization |