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Control Prediction and LeaRning in Mixing processes

Project description

DEENESFRITPL

New visions and tool sets for mixing

From the molecular to the planetary scale, mixing is a necessary phenomenon entailing both human and natural activities. It describes the evolution of the concentration of a substance in a continuum substrate that is possibly deforming. Predictive approaches that account for the many facets of the dynamics of mixing in a broad variety of applications and fields is emerging. The EU-funded CoPerMix project will train a new generation of scientists and engineers so that they are equipped with new visions and tool sets for mixing in order to address the increasing need to understand and predict mixing processes in environmental and industrial applications.

Objective

Mixing is the science describing the evolution of the concentration of a substance (tracers, chemicals, heat, bacteria...) in a
continuum substrate that is possibly deforming. It is also a necessary process or phenomenon taking place at each scales,
from molecular to planetary, in all non-equilibrium human and natural activities. Most approaches to mixing used in science
and engineering are based on mean field approaches or phenomenological mixing models , which focus on dynamics
through effective coefficients such as mixing micro-scales, diffusivities, or on purely descriptive characterization of mixing
through entropy measures for example. A predictive approaches that account for the many facets of the dynamics of mixing
in a broad variety of applications and fields is however emerging: It consists in visualizing a mixture as a set of elongated
stripes and sheets, understand how they are stretched and dispersed by the flow, a step we call Stirring. This first step
provides the necessary tools to couple molecular diffusion, leading to the complete statistical description of the mixing
process i.e. the full concentration distribution. In that sense and as opposed to traditional approaches, this disruptive vision
has prompted new numerical and experimental methods and offers a transformative vision for Mixing to envisage its Impact
in a diversity of fields and Learn from the stirring medium itself. A new generation of scientists and engineers is required that
is aware of these fundamental issues and equipped with new visions and tool sets for mixing in order to address the
increasing need of understanding and predicting mixing processes in environmental and industrial applications. The
CoPerMix training network proposes to address this challenge by setting up an innovative and entrepreneurial training
programme that renews drastically the methods and approaches to the subject and incorporates this strategic new vision of
Mixing in prominent academic curricula.

Fields of science

Keywords

Programme(s)

Topic(s)

Call for proposal

H2020-MSCA-ITN-2020

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Funding Scheme

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution
€ 274 802,04
Address
Rue michel ange 3
75794 Paris
France

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Region
Ile-de-France Ile-de-France Paris
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Other funding
€ 0,00

Participants (11)

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EC signature date 9 September 2020
Last update: 29 April 2023

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Permalink: https://cordis.europa.eu/project/id/956457

European Union, 2023