Riblet Drag Reduction Modeling and Simulation
One of the most interesting passive drag reduction techniques is based on the use of riblets or streamwise grooved surfaces. Detailed flow features inside the grooves can be numerically detected only by Direct Numerical Simulations (DNS), still unfeasible for high Reynolds numbers and complex flows....
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Fluids |
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| Online Access: | https://www.mdpi.com/2311-5521/7/7/249 |
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| author | Benedetto Mele |
| author_facet | Benedetto Mele |
| author_sort | Benedetto Mele |
| collection | DOAJ |
| description | One of the most interesting passive drag reduction techniques is based on the use of riblets or streamwise grooved surfaces. Detailed flow features inside the grooves can be numerically detected only by Direct Numerical Simulations (DNS), still unfeasible for high Reynolds numbers and complex flows. Many papers report the DNS of flows on microgrooved surfaces providing fundamental details on the drag reduction devices, but all are limited to plate or channel flows far from engineering Reynolds numbers. The numerical simulation of riblets and other drag reduction devices at very high Reynolds numbers is difficult to perform due to the riblet dimensions (microns in aeronautical applications). To overcome these difficulties, some models for riblet simulation have been developed in recent years, due to the data provided by DNS, experiments, and theoretical analyses. In all these models, the drag reduction is modeled rather than effectively captured; however, the analysis of some nonlocal effects on practical aeronautical configurations with riblets, requires their adoption. In this paper, the capabilities of these models in predicting riblets’ performance and some interesting features of the riblets’ effect on form drag and shock waves are shown. Two models are discussed and compared showing their respective advantages and limitations and providing possible enhancements. A comparison between the two models in terms of accuracy and convergence is discussed, and two new formulae are proposed to improve one of these models. Finally, a review of the results obtained by the two models is provided showing their capabilities in the analysis of the riblet effect on complex configurations. |
| first_indexed | 2024-03-09T10:19:33Z |
| format | Article |
| id | doaj.art-b87bd1eef49d47cbb267238ac8391133 |
| institution | Directory Open Access Journal |
| issn | 2311-5521 |
| language | English |
| last_indexed | 2024-03-09T10:19:33Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fluids |
| spelling | doaj.art-b87bd1eef49d47cbb267238ac83911332023-12-01T22:08:36ZengMDPI AGFluids2311-55212022-07-017724910.3390/fluids7070249Riblet Drag Reduction Modeling and SimulationBenedetto Mele0Industrial Engineering Department, University of Naples Federico II, 80125 Naples, ItalyOne of the most interesting passive drag reduction techniques is based on the use of riblets or streamwise grooved surfaces. Detailed flow features inside the grooves can be numerically detected only by Direct Numerical Simulations (DNS), still unfeasible for high Reynolds numbers and complex flows. Many papers report the DNS of flows on microgrooved surfaces providing fundamental details on the drag reduction devices, but all are limited to plate or channel flows far from engineering Reynolds numbers. The numerical simulation of riblets and other drag reduction devices at very high Reynolds numbers is difficult to perform due to the riblet dimensions (microns in aeronautical applications). To overcome these difficulties, some models for riblet simulation have been developed in recent years, due to the data provided by DNS, experiments, and theoretical analyses. In all these models, the drag reduction is modeled rather than effectively captured; however, the analysis of some nonlocal effects on practical aeronautical configurations with riblets, requires their adoption. In this paper, the capabilities of these models in predicting riblets’ performance and some interesting features of the riblets’ effect on form drag and shock waves are shown. Two models are discussed and compared showing their respective advantages and limitations and providing possible enhancements. A comparison between the two models in terms of accuracy and convergence is discussed, and two new formulae are proposed to improve one of these models. Finally, a review of the results obtained by the two models is provided showing their capabilities in the analysis of the riblet effect on complex configurations.https://www.mdpi.com/2311-5521/7/7/249drag reductionturbulenceribletscomputational fluid dynamics |
| spellingShingle | Benedetto Mele Riblet Drag Reduction Modeling and Simulation Fluids drag reduction turbulence riblets computational fluid dynamics |
| title | Riblet Drag Reduction Modeling and Simulation |
| title_full | Riblet Drag Reduction Modeling and Simulation |
| title_fullStr | Riblet Drag Reduction Modeling and Simulation |
| title_full_unstemmed | Riblet Drag Reduction Modeling and Simulation |
| title_short | Riblet Drag Reduction Modeling and Simulation |
| title_sort | riblet drag reduction modeling and simulation |
| topic | drag reduction turbulence riblets computational fluid dynamics |
| url | https://www.mdpi.com/2311-5521/7/7/249 |
| work_keys_str_mv | AT benedettomele ribletdragreductionmodelingandsimulation |