Modelling, simulation, metrology and optimisation for process engineering -- Four pillars for a science
Identifieur interne : 000778 ( Hal/Curation ); précédent : 000777; suivant : 000779Modelling, simulation, metrology and optimisation for process engineering -- Four pillars for a science
Auteurs : François Lesage [France]Source :
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Abstract
This document details the author's research activities realized between 1996 and 2010. They focus mostly on flow and heat and mass transfer in porous media, at both process and phenomena spatial scales. At process scale, liquid phase distribution in a trickle bed was particularly studied. A model for heat and mass transfer in fabrics was also proposed and validated. At local scale, liquid flow in a structured porous media was simulated. Results were successfully compared with experimental measurements of flow direction and velocity gradient using micro- electrodes. In a second part, more prospective studies related to parameter estimation and global and dynamic process optimisation are presented. The aim is to develop a methodology for the process scale-up and optimal control, from the building of mathematical models, experimental validation, numerical simulation and optimisation.
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<front><div type="abstract" xml:lang="en">This document details the author's research activities realized between 1996 and 2010. They focus mostly on flow and heat and mass transfer in porous media, at both process and phenomena spatial scales. At process scale, liquid phase distribution in a trickle bed was particularly studied. A model for heat and mass transfer in fabrics was also proposed and validated. At local scale, liquid flow in a structured porous media was simulated. Results were successfully compared with experimental measurements of flow direction and velocity gradient using micro- electrodes. In a second part, more prospective studies related to parameter estimation and global and dynamic process optimisation are presented. The aim is to develop a methodology for the process scale-up and optimal control, from the building of mathematical models, experimental validation, numerical simulation and optimisation.</div>
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<abstract xml:lang="en">This document details the author's research activities realized between 1996 and 2010. They focus mostly on flow and heat and mass transfer in porous media, at both process and phenomena spatial scales. At process scale, liquid phase distribution in a trickle bed was particularly studied. A model for heat and mass transfer in fabrics was also proposed and validated. At local scale, liquid flow in a structured porous media was simulated. Results were successfully compared with experimental measurements of flow direction and velocity gradient using micro- electrodes. In a second part, more prospective studies related to parameter estimation and global and dynamic process optimisation are presented. The aim is to develop a methodology for the process scale-up and optimal control, from the building of mathematical models, experimental validation, numerical simulation and optimisation.</abstract>
<abstract xml:lang="fr">Ce document présente les recherches menées par l'auteur de 1996 à 2010. Elles concernent en particulier les écoulements et transferts de matière et de chaleur en milieu poreux, vus à la fois à l'échelle du procédé et à l'échelle des phénomènes. Pour chacune de ces échelles, des systèmes de mesure ainsi que des modèles et simulations numériques ont été développés conjointement. A l'échelle globale, on a en particulier pu étudier la distribution de la phase liquide dans les trickle-beds. On a également proposé et validé un modèle de transfert de matière et de chaleur dans des tissus. A l'échelle locale, les simulations de l'écoulement liquide dans un milieu poreux parfaitement défini ont été confrontées avec succès à des mesures de gradients de vitesse et de direction de l'écoulement au niveau du garnissage obtenues grâce à un système de microélectrodes. Des études plus prospectives concernant le développement de méthodologies d'estimation paramétriques et l'optimisation dynamique et globale des procédés sont présentées dans une seconde partie. L'objectif est de pouvoir dimensionner et maîtriser le fonctionnement de procédés grâce à une méthode d'étude détaillée de procédés, depuis la construction de modèles, leur validation, l'obtention de résultats numériques et leur optimisation.</abstract>
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