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Control Prediction and LeaRning in Mixing processes

Descripción del proyecto

Nuevas perspectivas y conjuntos de herramientas para realizar mezclas

La mezcla es un proceso fundamental, desde la escala molecular a la planetaria, que implica actividades tanto humanas como naturales y que describe la evolución de la concentración de una sustancia en un sustrato continuo que, probablemente, se esté deformando. Existen nuevos métodos predictivos que consideran los múltiples aspectos de la dinámica de la mezcla en una amplia variedad de aplicaciones y campos. El objetivo del proyecto financiado con fondos europeos CoPerMix es abordar la creciente necesidad de comprender y predecir los procesos de mezcla en aplicaciones ambientales e industriales. Para ello, se formará a una nueva generación de científicos e ingenieros a fin de que dispongan de nuevas perspectivas y conjuntos de herramientas para realizar mezclas.

Objetivo

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.

Coordinador

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Aportación neta de la UEn
€ 274 802,04
Dirección
RUE MICHEL ANGE 3
75794 Paris
Francia

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Región
Ile-de-France Ile-de-France Paris
Tipo de actividad
Research Organisations
Enlaces
Coste total
€ 274 802,04

Participantes (11)