Orientador: Mario de Jesus Mendes / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica / Made available in DSpace on 2018-08-07T19:04:30Z (GMT). No. of bitstreams: 1 Schmitz_JonesErni_D.pdf: 1427141 bytes, checksum: 5c994ce371331fd4c3ac0f3e3861f49b (MD5) Previous issue date: 2006 / Resumo: A simulação de processos é um componente fundamental de uma grande variedade de atividades de Engenharia de Processos, tais como a Otimização Online, o controle em Tempo Real, a Identificação, etc. O cálculo de Equilíbrio de Fases é uma atividade fundamental em qualquer simulação de processos de separação. O elevado tempo computacional deste cálculo provocado pela sua natureza iterativa pode criar incompatibilidades entre a atividade de simulação e as aplicações em tempo real que ela integra. O objetivo deste trabalho foi desenvolver um método alternativo simples, mas suficientemente preciso, para realizar os cálculos de equilíbrio de fases na simulação de processos de separação de sistemas complexos. Entende-se por tal, sistemas que apresentam problemas de Equilíbrio Líquido-Líquido e de Equilíbrio Líquido-Líquido-Vapor, como é o caso dos que possuem um Azeótropo Heterogêneo. Pelas suas propriedades, as Redes Neurais Artificiais surgem naturalmente como candidatas alternativas para esta tarefa. Como objeto de aplicação foram escolhidos dois sistemas que apresentam um azeótropo heterogêneo, o sistema binário acetato de etila - água e o sistema ternário etanol - acetato de etila - água. Para gerar os dados usados no treinamento das redes foi implementado um método convencional de cálculo de equilíbrio de fases, adequado à complexidade dos sistemas escolhidos, o método de Pham & Doherty. Para a resolução do problema da estabilidade de fases, a primeira etapa do cálculo do equilíbrio de fases, foram testados dois tipos de redes neurais artificiais (RNAs), as Redes Neurais Artificiais Probabilísticas (RNAPs) e os Perceptrons. Com os perceptrons foram encontradas dificuldades para atingir a precisão desejada, sendo necessário recorrer a perceptrons com várias camadas escondidas. Já as RNAPs apresentaram uma excelente precisão, embora a sua simulação seja mais lenta. Perceptrons simples de uma só camada escondida foram usados com êxito na solução da segunda etapa do cálculo de equilíbrio de fases, o problema da divisão de fases. Combinando as redes desenvolvidas para cada uma das etapas foi criada uma ferramenta que permite resolver qualquer problema de equilíbrio de fases para os sistemas estudados. A precisão dos resultados fornecidos pelas redes neurais é comparável à dos apresentados pelos métodos tradicionais, mas os cálculos do equilíbrio de fases feitos usando redes neurais foram mais rápidos. Pode-se concluir que as redes neurais artificiais constituem uma alternativa válida aos métodos tradicionais do cálculo do equilíbrio de fases baseados em equações de estado para sistemas complexos como os avaliados / Abstract: Process simulation is a basic component of different Process Engineering activities such as On-line Optimization, Model Predictive Control, Identification, etc. The calculation of Phase Equilibrium appears as a fundamental task in any simulation of a separation process. However, the high computational time due to the iterative nature of this calculation makes it oft unsuitable for use with real time process analysis and synthesis strategies. The objective of this work is to develop a simple but accurate method to perform the phase equilibrium calculations required to the study of the behavior of complex systems. As such we mind those systems who present liquid-liquid and vapor-liquid-liquid phase equilibrium problems, such as systems with a heterogeneous azeotrope do. Given their inherent ability to learn and recognize non-linear and highly complex relationships, artificial neural networks (ANNs) appear to be well suited for such a task. Two chemical systems, the binary ethyl acetate ¿ water and the ternary ethanol ¿ ethyl acetate ¿ water were chosen; both systems present a miscibility gap and a heterogeneous azeotrope. The data sets used to train the ANNs were computed using the method of Pham & Doherty. Two kinds of neural networks were tried to solve the phase stability problem, namely the probabilistic neural networks (PNNs) and the perceptrons. In order to attain an acceptable precision perceptrons had to be trained with several hidden layers. Even though, PNNs got slightly better results than the perceptrons. Simple perceptrons were able to deliver the required precision when trained to predict the compositions of phases in equilibrium. Coupling the ANNs trained for phase stability with those trained for phase division a tool was obtained that can solve any phase equilibrium problem for the two chosen systems. Predictions made with the use of neural networks were faster than those made using the traditional methods, and delivered comparable precision / Doutorado / Sistemas de Processos Quimicos e Informatica / Doutor em Engenharia Química

Zugl.: Stuttgart, Univ., Diss., 2007

Zugl.: Stuttgart, Univ., Diss., 2007

Indiana University-Purdue University Indianapolis (IUPUI) / Finely-tuned solvent mixtures are used by art conservators for the difficult task of safely and selectively removing yellowed varnish, disfiguring grime, and discolored overpaint from the surface of oil paintings. This process is often referred to as “picture cleaning” and depends on the different solubilities of the obfuscating surface materials and the underlying paint medium. However, differential evaporation rates for the solvents used in these carefully formulated cleaning mixtures can change the potency of the mixture over time, which could potentially lead to solutions having solubility characteristics that are ineffective at cleaning, or worse yet, are deleterious to artists’ oil paints. Azeotropic blends of solvents have been proposed as an alternative for maintaining consistent solvent composition throughout the evaporation process while benefiting from their high vapor pressure relative to the pure solvents. Azeotropes are specific combinations of two or more solvents at a precise concentration that behave as a single solvent, maintaining a constant composition in both the liquid and vapor phases. The use of purportedly azeotropic solvent blends has appeared in the art conservation literature for the cleaning of historic objects and paintings. However, these solvent mixtures are taken from tables of azeotropic compositions given at their boiling point. We have studied one of these solutions, a 19:81 vol% mixture of isopropanol and n-hexane. For the first time, the actual evaporation behavior of this purported azeotropic mixture was followed in detail at room temperature conditions. Through the use of rudimentary vapor pressure measurements, gravimetric analysis, as well as sophisticated compositional determinations of both the liquid phase and headspace of evaporating mixtures by gas chromatography, this particular cleaning solution has been shown to be zeotropic (i.e. NOT an azeotrope) under the conditions typical of conservation studios. The true room temperature azeotropic composition was found instead to contain half as much isopropanol at 9.5 vol%. Art conservators should therefore be dubious of purportedly azeotropic mixtures reported at boiling points well above room temperature. Individual azeotropic cleaning blends are best determined chemically prior to their use in art restoration. Furthermore, the introduction of a model paint film to the evaporating room temperature azeotrope was shown to further confound its behavior, calling into question whether solvent systems can be configured to evaporate with constant composition from the surface of an artwork.

La distillation est le procédé de séparation le plus répandu dans l'industrie chimique. Pour la séparation des mélanges azéotropiques, une méthode spéciale de distillation doit être appliquée. Le but de mon travail était d'améliorer la séparation des mélanges azéotropiques par distillation discontinue (DD). Un nouvel algorithme a été présenté pour la détermination de la séquence des produits de DD pour des mélanges multicomposants azéotropiques. Contrairement aux méthodes publiées précédemment, cet algorithme n'a pas besoin des paramètres d'équilibre. Configurations non-conventionnelles de DD ont été étudiées par simulation rigoureuse avec un accent sur l'opération fermée. Nombreux modes d'opération fermés étaient proposés, lesquelles diffèrent en l'opération de réservoir supérieur. Les effets du recyclage des fractions sur un procédé de séparation existant de 6 lots d'un mélange déchet azéotropique ont été étudiés. Les études ont été étendues pour un procédé de distillation extractive discontinue (DED). Un volume minimal de pré-fraction doit être incinéré. Le cas optimal de DED a donné un profit plus grand que celui de DD. DED a été étudié pour la séparation des deux mélanges azéotropiques. La séparation a été infaisable ou le rendement a été bas par DD, mais DED et le procédé hybride ont donné des rendements élevés. Une nouvelle politique de DED a été aussi proposée. Un modèle généralisé de la distillation hétéroazéotropique discontinue avec une rétention variable de décanteur a été développé. Dans une analyse de faisabilité, toutes les politiques opérationnelles possibles ont été identifiées. Ce modèle a été étendu pour la distillation extractive hétérogène discontinue. / Distillation is the most widespread method for separating liquid mixtures. The separation of azeotropic mixtures requires a special distillation method. My aim was to improve the batch distillation separation of azeotropic mixtures. A new algorithm was presented for the determination of product sequences of batch distillation of multicomponent azeotropic mixtures. Non-conventional configurations were studied by simulation with emphasis on closed operation. The effects of off-cut recycle on a six-batch separation process of a waste solvent mixture were also investigated. Batch extractive distillation was studied for the separation of two azeotropic mixtures. A new extractive policy was also proposed. A generalised model of batch heteroazeotropic distillation with variable decanter hold-up was developed. This model was extended for batch heterogeneous extractive distillation.