Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2185
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dc.contributor.authorLeung, Andrew Yee Taken_US
dc.contributor.otherBogodage, S. G.-
dc.date.accessioned2022-02-05T08:46:37Z-
dc.date.available2022-02-05T08:46:37Z-
dc.date.issued2016-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2185-
dc.description.abstractEnhancement of fine particle (PM2.5) separation is important for cyclone separators to reduce any extra purification process required at the outlet. Therefore, the present experimental research was performed to explore the performance of cyclone separators modified with down-comer tubes at solid loading rates from 0 to 8.0 g/m<sup>3</sup> with a 10 m/s inlet velocity. The study proved the effectiveness of down-comer tubes in reducing the particle re-entrainment and increasing the finer separation with acceptable pressure drops, which was pronounced at low solid loading conditions. The experimental results were compared with theories of Smolik and Muschelknautz. Theories were acceptable for certain ranges, and theory breakdown was mainly due to the neglect of particle agglomeration, re-entrainment and the reduction of swirling energy, as well as the increase of wall friction due to presence of particles.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Hazardous Materialsen_US
dc.titleImprovements of the cyclone separator performance by down-comer tubesen_US
dc.typejournal articleen_US
dc.identifier.doi10.1016/j.jhazmat.2016.02.072-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn0304-3894en_US
dc.description.volume311en_US
dc.description.startpage100en_US
dc.description.endpage114en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypejournal article-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
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