Deep Bed Filtration: Mathematical Models and Observations

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dc.contributor.author Jegatheesan, Veeriah en_US
dc.contributor.author Vigneswaran, Saravanamuth en_US
dc.date.accessioned 2009-12-21T02:29:37Z
dc.date.available 2009-12-21T02:29:37Z
dc.date.issued 2005 en_US
dc.identifier 2005002460 en_US
dc.identifier.citation Jegatheesan Veeriah and Vigneswaran Saravanamuth 2005, 'Deep Bed Filtration: Mathematical Models and Observations', Taylor and Francis Inc, vol. 35, no. 1, pp. 515-569. en_US
dc.identifier.issn 1064-3389 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3676
dc.description.abstract Numerous mathematical models have been developed to evaluate both initial and transient stage removal efficiency of deep bed filters. Microscopic models either using trajectory analysis or convective-diffusion equations were used to compute the initial removal efficiency. These models predicted the removal efficiency under favorable filtration conditions quantitatively, but failed to predict the removal efficiency under unfavorable conditions. They underestimated the removal efficiency under unfavorable conditions. Thus, semi-empirical formulations were developed to compute initial removal efficiencies under unfavorable conditions. Also, correction for the adhesion of particles onto filter grains improved the results obtained for removal efficiency from the trajectory analysis. Macroscopic models were used to predict the transient stage removal efficiency of deep bed filters. The O'Melia and Ali(1) model assumed that the particle removal is due to filter grains as well as the particles that are already deposited onto the filter grain. Thus, semi-empirical models were used to predict the ripening of filtration. Several modifications were made to the model developed by O'Melia and Ali to predict the deterioration of particle removal during the transient stages of filtration. Models considering the removal of particles under favorable conditions and the accumulation of charges on the filter grains during the transient stages were also developed. This article evaluates those models and their applicability under different operating conditions of filtration en_US
dc.publisher Taylor and Francis Inc en_US
dc.relation.isbasedon http://dx.doi.org/10.1080/10643380500326432 en_US
dc.title Deep Bed Filtration: Mathematical Models and Observations en_US
dc.parent Critical Reviews in Environmental Science and Technology en_US
dc.journal.volume 35 en_US
dc.journal.number 6 en_US
dc.publocation USA en_US
dc.identifier.startpage 515 en_US
dc.identifier.endpage 569 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 090407 en_US
dc.personcode 0000020232 en_US
dc.personcode 900451 en_US
dc.percentage 34 en_US
dc.classification.name Process Control and Simulation en_US
dc.classification.type FOR-08 en_US
dc.description.keywords Collection efficiency, facourable conditions, intitial stage, surface chemistry en_US
dc.staffid 900451 en_US


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