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Saving energy via drag reduction: a mathematical description of oscillatory flows

Lead Research Organisation: University of Dundee
Department Name: Civil Engineering

Abstract

Turbulent fluid flows are ubiquitous in the engineering and industrial sciences, including aviation, shipping and transport, marine renewable energy, race car design, and pipeline transport. Much of the energy put into turbulent fluid systems is used to overcome the skin friction, or viscous turbulent drag force, on the boundaries of the flow, such as a pipe wall during pipeline transport or an aircraft wing in flight. Recent experiments and simulations indicate the potential for a reduction in skin friction of up to 7.5% for aircraft flight and up to 25% in pipeline transport if these flow boundaries are made to oscillate side-to-side transversally to the flow. If such skin friction reductions were realised in aircraft flight, then typical energy savings for one transatlantic flight are equivalent to the daily energy usage of around 1500 UK homes. Although some physical explanations for this drag reduction have been forwarded, to date there is no general underlying mathematical description of the phenomenon. This project will provide such an explanation, by identifying how oscillating walls affect key low-drag structures in the turbulent flow. In doing so, the project will design optimised wall oscillation strategies which best manipulate these low-drag structures in order to provide even greater energy savings. Additionally, the underlying mathematical description will help to relate different industrial applications together under a single framework, in order to facilitate the transfer of key ideas and energy saving solutions between applications.

Publications

10 25 50
 
Description - When forcing a chaotic system with the intention of improving its average properties, it appears that substantial gains can be made in these averages over simple sinusoidal forcing if an optimised forcing strategy is searched for. This is particularly true for moderate to large forcing amplitudes, where the search for optimal forcing appears to be computationally tractable.
- Searching for optimal forcing strategies at small forcing amplitude remains a significant challenge, despite recent improvements in the optimisation of chaotic systems. It appears that a significant forcing amplitude is required before the system can be manipulated affectively by our current optimisation algorithms.
- Any direct link between forcing, system averages, and structures within chaotic dynamics appears to be very complex and remains elusive at present. This remains an active focus of the research, with some recent promising early leads that require reinterpreting our data in a new, unanticipated way, and developing a new method of analysis.
- Fluid flow structures in oscillating boundary layers conform to a periodic, oscillating, version of the well-known "Self-Sustaining Process", rather than an entirely new set of dynamics. Nevertheless, the oscillation results in a complex interplay between different aspects of the fluid motion, that results in a fundamentally new set of oscillating flow structures which must organise around the period of oscillation. A research paper covering these structures and dynamics will be submitted for publication imminently.
Exploitation Route - Even if computing strictly optimal forcing for drag reduction remains a challenge, various industries may be able to compute significantly improved drag reduction techniques, and this is likely achievable at moderate forcing amplitudes.
- Future research may include a thorough investigation into why our most up-to-date chaotic system optimisation strategies fail at small forcing amplitude, with an aim to fixing this problem. It may simply be a problem that is intractable with traditional analysis, and requires a machine learning approach that is less illuminating in terms of fundamental understanding, but more effective in terms of practical outcomes.
Sectors Aerospace

Defence and Marine

 
Description East Scotland Nonlinear Dynamics and Fluids
Amount £1,496 (GBP)
Funding ID 32412 
Organisation London Mathematical Society 
Sector Academic/University
Country United Kingdom
Start 09/2024 
End 07/2025