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Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms

We investigate the flow over smooth (non-ribletted) shark skin denticles in an open-channel flow using direct numerical simulation (DNS) and two Reynolds averaged Navier–Stokes (RANS) closures. Large peaks in pressure and viscous drag are observed at the denticle crown edges, where they are exposed...

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Autores principales: Lloyd, C. J., Mittal, K., Dutta, S., Dorrell, R. M., Peakall, J., Keevil, G. M., Burns, A. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890104/
https://www.ncbi.nlm.nih.gov/pubmed/36756066
http://dx.doi.org/10.1098/rsos.220684
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author Lloyd, C. J.
Mittal, K.
Dutta, S.
Dorrell, R. M.
Peakall, J.
Keevil, G. M.
Burns, A. D.
author_facet Lloyd, C. J.
Mittal, K.
Dutta, S.
Dorrell, R. M.
Peakall, J.
Keevil, G. M.
Burns, A. D.
author_sort Lloyd, C. J.
collection PubMed
description We investigate the flow over smooth (non-ribletted) shark skin denticles in an open-channel flow using direct numerical simulation (DNS) and two Reynolds averaged Navier–Stokes (RANS) closures. Large peaks in pressure and viscous drag are observed at the denticle crown edges, where they are exposed to high-speed fluid which penetrates between individual denticles, increasing shear and turbulence. Strong lift forces lead to a positive spanwise torque acting on individual denticles, potentially encouraging bristling if the denticles were not fixed. However, DNS predicts that denticles ultimately increase drag by 58% compared to a flat plate. Good predictions of drag distributions are obtained by RANS models, although an underestimation of turbulent kinetic energy production leads to an underprediction of drag. Nevertheless, RANS methods correctly predict trends in the drag data and the regions contributing most to viscous and pressure drag. Subsequently, RANS models are used to investigate the dependence of drag on the flow blockage ratio (boundary layer to roughness height ratio), finding that the drag increase due to denticles is halved when the blockage ratio δ/h is increased from 14 to 45. Our results provide an integrated understanding of the drag over non-ribletted denticles, enabling existing diverse drag data to be explained.
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spelling pubmed-98901042023-02-07 Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms Lloyd, C. J. Mittal, K. Dutta, S. Dorrell, R. M. Peakall, J. Keevil, G. M. Burns, A. D. R Soc Open Sci Physics and Biophysics We investigate the flow over smooth (non-ribletted) shark skin denticles in an open-channel flow using direct numerical simulation (DNS) and two Reynolds averaged Navier–Stokes (RANS) closures. Large peaks in pressure and viscous drag are observed at the denticle crown edges, where they are exposed to high-speed fluid which penetrates between individual denticles, increasing shear and turbulence. Strong lift forces lead to a positive spanwise torque acting on individual denticles, potentially encouraging bristling if the denticles were not fixed. However, DNS predicts that denticles ultimately increase drag by 58% compared to a flat plate. Good predictions of drag distributions are obtained by RANS models, although an underestimation of turbulent kinetic energy production leads to an underprediction of drag. Nevertheless, RANS methods correctly predict trends in the drag data and the regions contributing most to viscous and pressure drag. Subsequently, RANS models are used to investigate the dependence of drag on the flow blockage ratio (boundary layer to roughness height ratio), finding that the drag increase due to denticles is halved when the blockage ratio δ/h is increased from 14 to 45. Our results provide an integrated understanding of the drag over non-ribletted denticles, enabling existing diverse drag data to be explained. The Royal Society 2023-02-01 /pmc/articles/PMC9890104/ /pubmed/36756066 http://dx.doi.org/10.1098/rsos.220684 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Physics and Biophysics
Lloyd, C. J.
Mittal, K.
Dutta, S.
Dorrell, R. M.
Peakall, J.
Keevil, G. M.
Burns, A. D.
Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms
title Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms
title_full Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms
title_fullStr Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms
title_full_unstemmed Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms
title_short Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms
title_sort multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms
topic Physics and Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890104/
https://www.ncbi.nlm.nih.gov/pubmed/36756066
http://dx.doi.org/10.1098/rsos.220684
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