FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016695858> ?p ?o ?g. }

• W2016695858 endingPage "1319" @default.
• W2016695858 startingPage "1302" @default.
• W2016695858 abstract "In this article, we present practical solutions (in the case of entrainers which add no azeotropes) to two problems of industrial relevance: Given a binary azeotrope which we want to separate into pure components, and a set of candidate entrainers, how do we determine which one is the best? Also, for each of these entrainers, what is the flowsheet of the feasible separation sequence(s)? We obtain these solutions by analyzing in details the mechanisms by which heavy, intermediate and light entrainers make separation feasible, using the new notions of equivolatility curves, of isovolatility curves and of local volatility order. We show that the second question finds an easy solution from the volatility order diagram. This analysis shows that a good entrainer is a component which “breaks” the azeotrope easily (i.e., even when its concentration is small) and yields high relative volatilities between the two azeotropic constituents. Because these attributes can be easily identified in an entrainer from the equivolatility curve diagram of the ternary mixture azeotropic component #1 — azeotropic component #2 — entrainer, we can easily compare entrainers by examining the corresponding equivolatility curve diagrams. Finally, we demonstrate the validity and limits of this method with examples. Dans cet article, nous présentons des solutions pratiques (dans le cas de composants d'entraǐnement n'ajoutant pas d'azéotropes) à deux problèmes d'importance industrielle: considérant un azéotrope binaire voulant se séparer en deux composants purs, et un ensemble d'entraǐneurs possibles, comment déterminer le meilleur? Par ailleurs, pour chacun de ces entraǐneurs, quel est le diagramme de procédé de la séquence ou des séquences de séparation possibles? Nous obtenons ces solutions en analysant en détail les mécanismes par lesquels des entraǐneurs lourds, intermédiaires et légers rendent la séparation possible, en utilisant les nouvelles notions de courbes équivolatilité, des courbes d'isovolatilité et de l'ordre de volatilité local. Nous montrons que la deuxième question trouve une réponse facile dans le diagramme de l'ordre de volatilité. Cette analyse montre qu'un bon entraǐneur est un composant qui *brise* l'azéotrope facilement (c.a.d. měme lorsque sa concentration est petite) et produit des volatilités relatives élevées entre les deux constituants azéotropes. Étant donné que ces qualités peuvent ětre facilement reconnues dans un entraǐneur à partir du diagramme d'équivolatilité du mélange ternaire composant azéotropique #1 — composant azéotropique #2 — entraǐneur, nous pouvons facilement comparer les entraǐneurs en examinant les diagrammes d'équivolatilité correspondants. Enfin, nous démontrons la validité et les limites de cette méthode et donnons de nombreux exemples." @default.
• W2016695858 created "2016-06-24" @default.
• W2016695858 creator A5022974464 @default.
• W2016695858 creator A5023846888 @default.
• W2016695858 creator A5025946191 @default.
• W2016695858 creator A5049627138 @default.
• W2016695858 date "1991-12-01" @default.
• W2016695858 modified "2023-10-17" @default.
• W2016695858 title "Homogeneous azeotropic distillation: Comparing entrainers" @default.
• W2016695858 cites W1983925583 @default.
• W2016695858 cites W1991425122 @default.
• W2016695858 cites W2001023083 @default.
• W2016695858 cites W2001040729 @default.
• W2016695858 cites W2004291567 @default.
• W2016695858 cites W2009210852 @default.
• W2016695858 cites W2015452058 @default.
• W2016695858 cites W2018598437 @default.
• W2016695858 cites W2033732545 @default.
• W2016695858 cites W2055193699 @default.
• W2016695858 cites W2072400343 @default.
• W2016695858 cites W2076918103 @default.
• W2016695858 cites W2083333253 @default.
• W2016695858 cites W2085521606 @default.
• W2016695858 cites W2089684837 @default.
• W2016695858 cites W2104216630 @default.
• W2016695858 cites W2126216028 @default.
• W2016695858 cites W2149155820 @default.
• W2016695858 cites W2327005214 @default.
• W2016695858 doi "https://doi.org/10.1002/cjce.5450690611" @default.
• W2016695858 hasPublicationYear "1991" @default.
• W2016695858 type Work @default.
• W2016695858 sameAs 2016695858 @default.
• W2016695858 citedByCount "137" @default.
• W2016695858 countsByYear W20166958582012 @default.
• W2016695858 countsByYear W20166958582013 @default.
• W2016695858 countsByYear W20166958582014 @default.
• W2016695858 countsByYear W20166958582015 @default.
• W2016695858 countsByYear W20166958582016 @default.
• W2016695858 countsByYear W20166958582017 @default.
• W2016695858 countsByYear W20166958582018 @default.
• W2016695858 countsByYear W20166958582019 @default.
• W2016695858 countsByYear W20166958582020 @default.
• W2016695858 countsByYear W20166958582021 @default.
• W2016695858 countsByYear W20166958582022 @default.
• W2016695858 countsByYear W20166958582023 @default.
• W2016695858 crossrefType "journal-article" @default.
• W2016695858 hasAuthorship W2016695858A5022974464 @default.
• W2016695858 hasAuthorship W2016695858A5023846888 @default.
• W2016695858 hasAuthorship W2016695858A5025946191 @default.
• W2016695858 hasAuthorship W2016695858A5049627138 @default.
• W2016695858 hasConcept C121332964 @default.
• W2016695858 hasConcept C131548973 @default.
• W2016695858 hasConcept C144237770 @default.
• W2016695858 hasConcept C151572726 @default.
• W2016695858 hasConcept C185592680 @default.
• W2016695858 hasConcept C199360897 @default.
• W2016695858 hasConcept C204030448 @default.
• W2016695858 hasConcept C33923547 @default.
• W2016695858 hasConcept C41008148 @default.
• W2016695858 hasConcept C43617362 @default.
• W2016695858 hasConcept C64452783 @default.
• W2016695858 hasConcept C97355855 @default.
• W2016695858 hasConceptScore W2016695858C121332964 @default.
• W2016695858 hasConceptScore W2016695858C131548973 @default.
• W2016695858 hasConceptScore W2016695858C144237770 @default.
• W2016695858 hasConceptScore W2016695858C151572726 @default.
• W2016695858 hasConceptScore W2016695858C185592680 @default.
• W2016695858 hasConceptScore W2016695858C199360897 @default.
• W2016695858 hasConceptScore W2016695858C204030448 @default.
• W2016695858 hasConceptScore W2016695858C33923547 @default.
• W2016695858 hasConceptScore W2016695858C41008148 @default.
• W2016695858 hasConceptScore W2016695858C43617362 @default.
• W2016695858 hasConceptScore W2016695858C64452783 @default.
• W2016695858 hasConceptScore W2016695858C97355855 @default.
• W2016695858 hasIssue "6" @default.
• W2016695858 hasLocation W20166958581 @default.
• W2016695858 hasOpenAccess W2016695858 @default.
• W2016695858 hasPrimaryLocation W20166958581 @default.
• W2016695858 hasRelatedWork W2003514674 @default.
• W2016695858 hasRelatedWork W2040053924 @default.
• W2016695858 hasRelatedWork W2145090615 @default.
• W2016695858 hasRelatedWork W2153545771 @default.
• W2016695858 hasRelatedWork W2381392712 @default.
• W2016695858 hasRelatedWork W2587731186 @default.
• W2016695858 hasRelatedWork W2770631821 @default.
• W2016695858 hasRelatedWork W2899560900 @default.
• W2016695858 hasRelatedWork W3023433517 @default.
• W2016695858 hasRelatedWork W580673031 @default.
• W2016695858 hasVolume "69" @default.
• W2016695858 isParatext "false" @default.
• W2016695858 isRetracted "false" @default.
• W2016695858 magId "2016695858" @default.
• W2016695858 workType "article" @default.