Marensi, E., Ding, Z., Willis, A.P. orcid.org/0000-0002-2693-2952 et al. (1 more author) (2020) Designing a minimal baffle to destabilise turbulence in pipe flows. Journal of Fluid Mechanics, 900. A31. ISSN 0022-1120
Abstract
Motivated by the results of recent experiments (Kühnen et al., Flow Turbul. Combust., vol. 100, 2018, pp. 919–943), we consider the problem of designing a baffle (an obstacle to the flow) to relaminarise turbulence in pipe flows. Modelling the baffle as a spatial distribution of linear drag F(x,t)=−χ(x)utot(x,t) within the flow ( utot is the total velocity field and χ≥0 a scalar field), two different optimisation problems are considered to design χ at a Reynolds number Re=3000 . In the first, the smallest baffle defined in terms of a L1 norm of χ is sought which minimises the viscous dissipation rate of the flow. In the second, a baffle which minimises the total energy consumption of the flow is treated. Both problems indicate that the baffle should be axisymmetric and radially localised near the pipe wall, but struggle to predict the optimal streamwise extent. A manual search finds an optimal baffle one radius long which is then used to study how the amplitude for relaminarisation varies with Re up to 15000 . Large stress reduction is found at the pipe wall, but at the expense of an increased pressure drop across the baffle. Estimates are then made of the break-even point downstream of the baffle where the stress reduction at the wall due to the relaminarised flow compensates for the extra drag produced by the baffle.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), 2020. Published by Cambridge University Press. This is an author produced version of a paper subsequently published in Journal of Fluid Mechanics. Article available under the terms of the CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | transition to turbulence; drag reduction |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/P000959/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Jun 2021 10:12 |
Last Modified: | 09 Jun 2021 10:38 |
Status: | Published |
Publisher: | Cambridge University Press (CUP) |
Refereed: | Yes |
Identification Number: | 10.1017/jfm.2020.518 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174881 |