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dc.contributor.authorAgranovski, Igoren_US
dc.contributor.authorBraddock, Rogeren_US
dc.contributor.authorCrozier, Stuarten_US
dc.contributor.authorWhittaker, Andrewen_US
dc.contributor.authorMinty, Shaneen_US
dc.contributor.authorMyojo, Toshihikoen_US
dc.description.abstractA growing demand for efficient air quality management calls for the development of technologies capable of meeting the stringent requirements now being applied in areas of chemical, biological and medical activities. Currently, filtration is the most effective process available for removal of fine particles from carrier gases. Purification of gaseous pollutants is associated with adsorption, absorption and incineration. In this paper we discuss a new technique for highly efficient simultaneous purification of gaseous and particulate pollutants from carrier gases, and investigate the utilization of Nuclear Magnetic Resonance (NMR) imaging for the study of the dynamic processes associated with gas-liquid flow in porous media. Our technique involves the passage of contaminated carrier gases through a porous medium submerged into a liquid, leading to the formation of narrow and tortuous pathways through the medium. The wet walls of these pathways result in outstanding purification of gaseous, liquid and solid alien additives. NMR imaging was successfully used to map the gas pathways inside the porous medium submerged into the liquid layer.en_US
dc.publisherElsevier Science BVen_US
dc.relation.ispartofjournalSeparation and Purification Technologyen_US
dc.titleStudy of wet porous filtration.en_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2003 Elsevier : Reproduced in accordance with the copyright policy of the publisher : This journal is available online - use hypertext links.en_AU
gro.hasfulltextNo Full Text

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    Contains articles published by Griffith authors in scholarly journals.

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