Detailed Information

Cited 11 time in webofscience Cited 15 time in scopus
Metadata Downloads

A Computational Study on the Separation of Acetonitrile and Water Azeotropic Mixture Using Pressure Swing Distillation

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Kyung Won-
dc.contributor.authorShin, Jae Sun-
dc.contributor.authorKim, Sa Hoon-
dc.contributor.authorHong, Sung Kyu-
dc.contributor.authorCho, Jung Ho-
dc.contributor.authorPark, Sang Jin-
dc.date.accessioned2024-08-08T01:31:31Z-
dc.date.available2024-08-08T01:31:31Z-
dc.date.issued2013-
dc.identifier.issn0021-9592-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/15374-
dc.description.abstractIn this study, a computational study has been performed to separate over 99.9 mol% of acetonitrile from binary azeotropic mixture of acetonitrile and water using a Pressure Swing Distillation process (PSD). The PSD process is used to separate azeotropic mixtures using the difference between the relative volatilities and azeotropic compositions by changing the system pressure. Non-Random Two Liquid (NRTL) model for liquid phase and the Peng-Robinson equation for vapor phase are used. An optimization study for the reflux ratio and feed stage locations which minimize the total reboiler heat duties are studied. Since the PSD process consists of two columns, i.e. high pressure (HP) and low pressure (LP), the effect of column sequences on the optimum process conditions is also reported.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherSOC CHEMICAL ENG JAPAN-
dc.titleA Computational Study on the Separation of Acetonitrile and Water Azeotropic Mixture Using Pressure Swing Distillation-
dc.typeArticle-
dc.publisher.location일본-
dc.identifier.doi10.1252/jcej.12we252-
dc.identifier.scopusid2-s2.0-84877950806-
dc.identifier.wosid000319512800003-
dc.identifier.bibliographicCitationJOURNAL OF CHEMICAL ENGINEERING OF JAPAN, v.46, no.5, pp 347 - 352-
dc.citation.titleJOURNAL OF CHEMICAL ENGINEERING OF JAPAN-
dc.citation.volume46-
dc.citation.number5-
dc.citation.startPage347-
dc.citation.endPage352-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Chemical-
dc.subject.keywordPlusEXTRACTIVE-DISTILLATION-
dc.subject.keywordPlusBATCH DISTILLATION-
dc.subject.keywordAuthorPressure Swing Distillation-
dc.subject.keywordAuthorAcetonitrile-
dc.subject.keywordAuthorSimulation-
dc.subject.keywordAuthorNon-Random Two Liquid (NRTL) Model-
dc.subject.keywordAuthorPeng-Robinson Equation-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Chemical and Biochemical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Hong, Sung Kyu photo

Hong, Sung Kyu
College of Engineering (Department of Chemical and Biochemical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE