Examinando por Materia "SEPARACION"
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Capítulo de libro Already used and candidate polymeric membranes for CO2 separation plants(2018) Gutiérrez, Juan Pablo; Ale Ruiz, Elisa Liliana; Erdmann, Eleonora"This chapter presents the already used polymeric membranes and the potential candidates for the CO2 acid gas separation. Mainly, this work describes the characteristics of each membrane and the differences according to transport properties, conditions, and quality of the products. In addition to this, the types of membranes according to their capacity to separate CO2 from sources such as CO2/CH4 mixture, natural gas, and flue gases are also described. Also, the energy requirement to accomplish a certain product specification is introduced, this last used for the transport of natural gas. Finally, the characteristics of the potential candidate membranes and challenges for industrial applications are summarized."Artículo de Publicación Periódica Mechanisms and conditions that affect phase inversion processes. A review.(2020-07) Maffi, Juan M.; Meira, Gregorio R.; Estenoz, Diana"The phenomenon of phase inversion occurs in liquid-liquid dispersions found in a variety of chemical engineering fields. From simple oil-water mixtures to complex polymeric systems, the operating variables that affect this physical phenomenon are discussed in this work. The contribution on this matter by a large number of researchers is critically assessed, outlining both coherent and conflicting results. A detailed review of the mechanisms by which phase inversion takes place is also provided. While this subject has been studied for the past fifty years, this multivariate nonlinear process is not yet comprehensively understood, and this review article aims to describe the conclusions so far reached to provide insight for future research."Artículo de Publicación Periódica Mechanisms and conditions that affect phase inversion processes. The case of high-impact polystyrene(2019) Maffi, Juan M.; Casis, Natalia; Acuña, Pablo; Morales Balado, Graciela Elizabeth; Estenoz, Diana"The phase inversion during the bulk polymerization of the styrene-polybutadiene system (HIPS manufacturing process) is empirically and theoretically studied in this article. In the experimental work, a series of reactions were performed with benzoyl peroxide as initiator and at temperatures considered of industrial interest (80ºC and 90ºC), varying also the reactor stirring level. Phase inversion was determined by offline viscosity measurements and verified by scanning electron micrography in transmission mode (STEM). The rheological behavior of each reacting system was analyzed and an empirical correlation to predict its apparent viscosity from fundamental reaction parameters was derived. This was achieved successfully for bothbefore and after the phase inversion point."Proyecto final de Grado Planta de inyección de agua salada(2020-11) Casasco Bonafina, Agostina Sol; Lanci, Antonella; Blachman, Luciano; Chullmir, Magdalena; Aqueveque Cuetos, Paloma; Ausejo, Matías Daniel"El objetivo de este documento es estudiar las diferentes alternativas para separar el agua, el gas y el crudo. Se estudiarán las diferentes metodologías de separación y condiciones de aplicación para evaluar qué equipo o combinación de equipo se adecúa más a nuestras condiciones."Artículo de Publicación Periódica Predicting phase inversion in agitated dispersions with machine learning algorithms(2020-09) Maffi, Juan M.; Estenoz, Diana"In agitated systems, the phase inversion (PI) phenomenon – the mechanism by which a dispersed phase becomes the continuous one – has been studied extensively in an empirical manner and few models have been put forward through the years. The underlying physics are still to be fully understood. In this work, the experimental evidence published in literature is used to train machine learning models that may infer the inherent rules that lead to a given dispersion type (O/W or W/O), as well as predict the value of the dispersed phase volume fraction at the edge of the inversion point. Decision trees, bagged decision trees, support-vector machines and multiple perceptrons are implemented and compared. Results show that it is possible to infer an ensemble of physical rules that explain why a given dispersion is O/W or W/O, where a strong “turbulence constraint” is identified. The intuitive rule that PI occurs at 50% dispersed phase almost never holds. Moreover, neural networks have shown a better performance at predicting the PI point than the other algorithms tested. Finally, a theoretical study is performed in an effort to produce a phase inversion map with the relevant operating variables. This study showed a strong non-linear effect of the impeller-to-vessel size ratio, and an asymmetrical behavior of the interfacial tension on the phase inversion points."