Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2872
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dc.contributor.authorLeung, Andrew Yee Taken_US
dc.contributor.otherLu, W. Z.-
dc.contributor.otherYan, S. H.-
dc.contributor.otherSo, A. T. P.-
dc.date.accessioned2022-03-31T08:50:17Z-
dc.date.available2022-03-31T08:50:17Z-
dc.date.issued2005-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2872-
dc.description.abstractSevere acute respiratory syndrome (SARS) virus cleaner is a newly developed equipment that can provide a localized, more effective way to remove body fluids with SARS virus emitted by SARS patients inside SARS triage ward during the deep-cutting therapy. One of the major concerns is how to achieve the effective removal of poisoned fluid by such individual extraction system. The most realized way of gathering data for optimization would be to perform an in situ measurement. However, such a method is dangerous and ineffective since the virus is highly infectious and can hardly be visualized. With the merit of Computational Fluid Dynamics (CFD), large data can be generated by computational simulations. The parametric numerical simulation presented is a cost-effective study that makes use of CFD. In the numerical experiments, viruses are assumed as airborne contaminants and their dispersion is modelled by species continuity equation. In numerical simulations, coughing of patients is modelled by a sudden high velocity jet with contaminated air. To optimize the performance of the extraction system, different extracting flow-rates combined with different extraction hood plans are considered. It is expected to find out the optimal hood/room plan and the minimum possible virus spread via CFD simulations. The CFD results may also provide information for further improving the current prototype of SARS virus cleaner.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Journal for Numerical Methods In Fluidsen_US
dc.titleA preliminary parametric study on performance of SARS virus cleaner using CFD simulationen_US
dc.typejournal articleen_US
dc.identifier.doi10.1002/fld.909-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn1097-0363en_US
dc.description.volume47en_US
dc.description.issue10-11en_US
dc.description.startpage1137en_US
dc.description.endpage1146en_US
dc.cihe.affiliatedNo-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypejournal article-
item.languageiso639-1en-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
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