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dc.contributor.authorLiu, X
dc.contributor.authorDing, X
dc.contributor.authorChen, C
dc.contributor.authorAn, R
dc.contributor.authorGuo, W
dc.contributor.authorZhang, W
dc.contributor.authorNan, H
dc.contributor.authorWang, Y
dc.date.accessioned2021-10-19T13:15:18Z
dc.date.available2021-10-19T13:15:18Z
dc.date.issued2019-05-01
dc.identifier.issn1994-2060
dc.identifier.issn1997-003X
dc.identifier.urihttp://hdl.handle.net/10026.1/18126
dc.description.abstract

This paper studies the dynamic filtration behavior of coal particles in metal fiber felt, by developing a three-dimensional model based on microstructure and arrangement mode of metal fiber felt identified by scanning electron microscope. Discrete element method (DEM) is coupled with Computational fluid dynamics (CFD) to simulate filtration of coal particles in metal fiber felt. The simulation mainly studies the moving trail and deposition characteristics of spherical coal particles. The results demonstrated that coal particles can bypass the metal fibers and enter the inside of the metal fiber felt through mesh channels. The moving trail of coal particles is similar to a broken line. It is also shown that most coal particles are trapped due to the deep filtration of metal fiber felt and the distribution pattern of them is inhomogeneous. The number of particles trapped by metal fiber felt is reduced in the direction of thickness. It is found that coal particles can be trapped not only by randomly arranged metal fibers, but also by coal particles deposited previously. Finally, the kinetic energy loss of coal particles mainly occurs in the initial stage when particles pass through metal fiber felt. And the velocity of coal particles inside metal fiber felt is maintained at 0.15–0.25 m/s.

dc.format.extent426-437
dc.languageen
dc.language.isoen
dc.publisherTaylor & Francis Group
dc.subjectmetal fiber felt
dc.subjectfiltration
dc.subjectnumerical simulation
dc.subjectCFD-DEM
dc.subjectparticle
dc.titleInvestigating the filtration behavior of metal fiber felt using CFD-DEM simulation
dc.typejournal-article
dc.typeReview
plymouth.issue1
plymouth.volume13
plymouth.publication-statusPublished
plymouth.journalEngineering Applications of Computational Fluid Mechanics
dc.identifier.doi10.1080/19942060.2019.1608306
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/Plymouth Business School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2019-04-12
dc.rights.embargodate2021-10-13
dc.identifier.eissn1997-003X
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1080/19942060.2019.1608306
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-05-01
rioxxterms.typeJournal Article/Review


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