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dc.contributor.authorJimeno, G
dc.contributor.authorLee, Yeaw Chu
dc.contributor.authorNi, X-W
dc.date.accessioned2021-05-07T09:26:24Z
dc.date.available2021-05-07T09:26:24Z
dc.date.issued2019-05-08
dc.identifier.issn0098-1354
dc.identifier.issn1873-4375
dc.identifier.urihttp://hdl.handle.net/10026.1/17099
dc.description.abstract

Existing numerical models of mixing processes in oscillatory baffled reactors (OBR) are mainly Eulerian-based. An alternative Lagrangian based methodology, Smoothed-Particle Hydrodynamics (SPH), for predicting flow patterns and assessing mixing performance is presented in this paper. A bespoke SPH solver is developed for single phase modeling, as it is, for the first time, applied to OBR, and the results are compared with those from Eulerian modeling, i.e. Finite Volume (FV) method. SPH has successfully captured the expected flow characteristics in OBR as clearly and equally as its Eulerian counterpart, validating the SPH method. Since SPH provides historical information of individually tracked fluid packets/particles in the domain of interest, it allows for readily quantitative assessments of mixing without additional models. Two new indexes to assess mixing and plug flow efficiency have been proposed by making full use of SPH's capabilities.

dc.format.extent14-27
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.subjectSmoothed Particle Hydrodynamics (SPH)
dc.subjectComputational Fluid Dynamics (CFD)
dc.subjectLagrangian based modeling
dc.subjectOscillatory baffled reactor
dc.subjectFlow patterns
dc.subjectMixing efficiency
dc.titleSmoothed particle hydrodynamics – A new approach for modeling flow in oscillatory baffled reactors
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000461465600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume124
plymouth.publication-statusPublished
plymouth.journalComputers and Chemical Engineering
dc.identifier.doi10.1016/j.compchemeng.2019.02.003
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2019-02-01
dc.rights.embargodate2021-5-26
dc.identifier.eissn1873-4375
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.compchemeng.2019.02.003
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-05-08
rioxxterms.typeJournal Article/Review


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