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CoPerMix

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Cerrado

Control Prediction and LeaRning in Mixing processes

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 pl... ver más

31/12/2024

CNRS

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 13 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-12-31

MSCA-ITN-2020: Innovative Training Networks Objective:The Innovative Training Networks (ITN) aim to train a new generation of creative, entrepre...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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13 Participantes

CNRS

274.80K€ | Lider

FAGOR ELECTRONICA

337.15K€ | Participante

AMU

274.80K€ | Participante

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Duración del proyecto: 51 meses Fecha Inicio: 2020-09-09
Fecha Fin: 2024-12-31

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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