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Modeling of agglomerate dispersion in single screw extruders / N. Domingues in INTERNATIONAL POLYMER PROCESSING, Vol. XXV, N° 3 (07/2010)
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Titre : Modeling of agglomerate dispersion in single screw extruders Type de document : texte imprimé Auteurs : N. Domingues, Auteur ; M. Camesasca, Auteur ; M. Kaufman, Auteur ; Ica Manas-Zloczower, Auteur ; A. Gaspar-Cunha, Auteur ; Jose A. Covas, Auteur Année de publication : 2010 Article en page(s) : p. 251-257 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Matières plastiques -- Extrusion:Polymères -- Extrusion
Matières plastiques, Travail des
Vis d'extrusion simpleTags : 'Vis d'extrusion simple' 'Simulation numérique' Modélisation Dispersion Ecoulement Erosion 'Méthode Monte Carlo' 'Caractérisation de mélange' 'Entropie Shannon' Index. décimale : 668.9 Polymères Résumé : A model for solid agglomerate dispersion in single screw extruders is proposed. The model combines numerical simulations of flow patterns in the metering section of a single screw extruder with a Monte Carlo method of clusters rupture and erosion mediated by a local fragmentation number. Particle size distributions and Shannon entropy are used for mixing characterization. The model is quite general and can be adapted for different polymer-additive systems as well as for different processing equipment. DOI : 10.3139/217.2350 En ligne : https://drive.google.com/file/d/1pt1xnN0O8KC3FsUq5ds-Jezpz3kMA0LQ/view?usp=drive [...] Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=9741
in INTERNATIONAL POLYMER PROCESSING > Vol. XXV, N° 3 (07/2010) . - p. 251-257[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 012302 - Périodique Bibliothèque principale Documentaires Disponible Ready-to-use and advanced methodologies to prioritise the regionalisation effort in LCA / Laure Patouillard in MATERIAUX & TECHNIQUES, Vol. 104, N° 1 (2016)
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Titre : Ready-to-use and advanced methodologies to prioritise the regionalisation effort in LCA Type de document : texte imprimé Auteurs : Laure Patouillard, Auteur ; Cécile Bulle, Auteur ; Manuele Margni, Auteur Année de publication : 2016 Article en page(s) : 7 p. Note générale : Bibliogr. Langues : Français (fre) Catégories : Durée de vie (Ingénierie) Tags : 'Evaluation du cycle de vie' Incertitude 'Méthode Monte Carlo' 'Analyse sensibilité' Régionalisation Spatialisation Priorisation Index. décimale : 658.57 Recherche et développement : recherche fondamentale, nouveaux produits Résumé : The spatial dimension is an important aspect in life cycle assessment (LCA). Indeed life cycle processes, and therefore also elementary flows, are most likely to be geographically scattered due to global supply chains. The environmental impacts related to an elementary flow can be different across the globe depending on the spatial variability of ecosystem sensitivity. Integrating spatial dimension seems to be a promising way to increase LCA results’ reliability by reducing spatial uncertainties. LCA regionalisation refers to the integration of the spatial variability that really exists to improve result representativeness and reduce spatial uncertainties. As regionalisation requires additional effort for LCA practitioners, it is necessary to ensure the interest of such an effort and to prioritise it. This work proposes two methodologies to prioritise the regionalisation effort in LCA depending on the decision context and the type of study. They allow the selection of impacts, processes and regionalisation aspects that LCA practitioners need to focus on. The first one is a ready-to-use methodology and the second one involves more advanced tools based on spatial uncertainty analysis. The proposed methodologies are stepwise. The ready-to-use methodology involves tools that are already used by LCA practitioners and is based on impact contribution analysis. Regarding the advanced methodology, most relevant impact categories and processes to be further investigated for regionalisation are selected according to their impact contribution and their uncertainty level by using Monte Carlo simulation and regression analysis. The regionalisation effort is estimated depending on the confidence level required for the case study. The relevance and limits of each methodologies are investigated. Results underline the importance to take into account both impact and uncertainty contributions to select processes that need to be regionalised. The proposed methodologies highlight the need to focus on the goal and scope at the early stages of a study in order to clearly identify the intended audience and its requirements regarding study quality. A dialogue with the decision maker during the study would be beneficial. Those approaches can be relevant for other types of uncertainty but should be adapted. Référence de l'article : 105 DOI : http://dx.doi.org/10.1051/mattech/2016002 En ligne : http://www.mattech-journal.org/articles/mattech/pdf/2016/01/mt150078.pdf Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=26132
in MATERIAUX & TECHNIQUES > Vol. 104, N° 1 (2016) . - 7 p.[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 17953 - Périodique Bibliothèque principale Documentaires Disponible