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dc.contributor.authorParimanan Cherntongchaien_US
dc.contributor.authorThaksina Innanen_US
dc.contributor.authorStefano Brandanien_US
dc.date.accessioned2018-09-04T04:18:09Z-
dc.date.available2018-09-04T04:18:09Z-
dc.date.issued2011-03-01en_US
dc.identifier.issn00092509en_US
dc.identifier.other2-s2.0-78651072995en_US
dc.identifier.other10.1016/j.ces.2010.12.001en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651072995&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/49795-
dc.description.abstractThe bed collapse technique, firstly proposed by Rietema in 1967, is a standard technique used for the characterization of powders belonging to Geldart's Group A classification. When applying this technique to gas fluidization, a windbox gas deaeration rate needs to be considered carefully. The bed collapse model developed by Cherntongchai and Brandani in 2005 was the first to consider clearly the gas deaeration rate by taking into account system configurations and yielded the intrinsic dense phase properties from both 1-valve and 2-valve collapse curves. In this work, the mathematical description of the pressure drop profile for 1-valve and 2-valve bed collapse experiments is investigated with the aim of establishing if the dense phase voidage and velocity can be determined directly. This can greatly reduce data processing time, because a series of pressure signals are analyzed directly rather than having to convert digital images into bed collapse profiles. The pressure signals provide also the direct detection of the shock wave front location for both 1-valve and 2-valve bed collapse experiments, which cannot be detected visually. Excellent agreement between the model prediction and experimental data from the collapsing bed pressure drop profile was successfully achieved. © 2010 Elsevier Ltd.en_US
dc.subjectChemical Engineeringen_US
dc.subjectChemistryen_US
dc.subjectEngineeringen_US
dc.subjectMathematicsen_US
dc.titleMathematical description of pressure drop profile for the 1-valve and 2-valve bed collapse experimenten_US
dc.typeJournalen_US
article.title.sourcetitleChemical Engineering Scienceen_US
article.volume66en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsUniversity of Edinburghen_US
Appears in Collections:CMUL: Journal Articles

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