Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

New strategies for optimal drag reduction via fiber control in turbulence

Project description

Optimising drag reduction in turbulent flows

Turbulent flows generate significant friction drag, resulting in increased energy consumption for many industrial applications. While polymers can regulate turbulent flow and reduce drag, the question is whether the dynamics of passive anisotropic fibres can be manipulated to further improve turbulence control. Supported by the Marie Skłodowska-Curie Actions programme, the DragREACT project aims to develop novel flow control strategies by transforming passive fibres into mobile flow modifiers. It will first investigate the complex dynamics and behaviours of anisotropic fibres in turbulent flows. Leveraging reinforcement learning, the project will then optimise their behaviours and transfer these findings to a fully coupled Eulerian-Lagrangian framework to evaluate the impact of improved fibre dynamics on carrier flow and friction drag.

Objective

Is it possible to control highly out-of-equilibrium turbulent flows by anisotropic particles or slender fibers? Turbulent drag reduction remains one of the biggest challenges in out-of-equilibrium statistical physics and fluid dynamics, with major implications for energy efficiency in industrial and environmental flows. While polymers and other additives have long been known to reduce friction drag, a key question is whether the dynamics of passive, yet anisotropic particles can be harnessed to enhance natural preferential concentration, migration, or alignment, so as to steer turbulence in smarter ways. DragREACT tackles this challenge by developing smart Lagrangian control strategies that exploit the unique translational-rotational dynamics of inertial anisotropic particles, such as rods and rigid fibers, suspended in turbulent channel flows. Leveraging both physical insights and modern data-driven tools (e.g. reinforcement learning (RL)), DragREACT aims to transform passive fibers into mobile flow modifiers. Specifically, DragREACT will: (i) understand how key fibers properties (shape, inertia and mass distribution), govern their translational-rotational dynamics and influence key Lagrangian behaviours, such as near-wall accumulation, preferential alignment, and controlled tumbling/spinning; (ii) optimise these behaviours through external forcing (e.g. magnetic field), using RL algorithms; and (iii) transfer this knowledge into a fully coupled Eulerian-Lagrangian framework to assess how optimised fiber dynamics feed back into the carrier flow and affect drag. By combining direct numerical simulations, physical modelling, and state-of-the-art optimisation methods, DragREACT aims to significantly advance the fundamental understanding of fiber-flow interactions. Furthermore, it will deliver a new Eulerian-Lagrangian framework for turbulence control in particle-laden flows, an ambitious step that paves the way for optimised drag reduction in complex flows.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

See all projects funded under this funding scheme

Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

See all projects funded under this call

Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution
€ 226 420,56
Address
RUE MICHEL ANGE 3
75794 Paris
France
Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
Links
Total cost
No data