2012
DOI: 10.1016/j.ces.2012.07.031
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3D air filtration modeling for nanofiber based filters in the ultrafine particle size range

Abstract: Abstract. In this work, novel 3D filtration model for nanofiber based filters has been proposed and tested. For the model validation purposes, filtration efficiency characteristics of two different polyurethane nanofiber based structures (prepared by the electrospinning process) were determined experimentally in the ultrafine particle size range (20-400 nm). It has been found that the proposed model is able to reasonably predict the measured filtration efficiency curves for both tested samples.

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Cited by 116 publications
(66 citation statements)
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“…In such a case, particle Brownian motion and uniform gas flow field can only be considered as a result of significant air slip occurrence at the fiber surface where the influence of the fibers on the flow field is negligible as suggested by Maze et al [7]. In such a case, the flow field is described by the set of equations, which are summarized in [25].…”
Section: Flow Field Calculationmentioning
confidence: 99%
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“…In such a case, particle Brownian motion and uniform gas flow field can only be considered as a result of significant air slip occurrence at the fiber surface where the influence of the fibers on the flow field is negligible as suggested by Maze et al [7]. In such a case, the flow field is described by the set of equations, which are summarized in [25].…”
Section: Flow Field Calculationmentioning
confidence: 99%
“…Figure 2 shows the 3D structure model for the investigated polyurethane nanofiber based filter created from the SEM image depicted in Figure 1 according to the technique described in [25]. …”
Section: Filter Model Description 3d Filter Structure Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…In some cases the SEM images obtained were consequently used to determine fibre diameter distribution, pore size distribution, build up representative 3D filter models and filtration efficiency by using the recently developed UTB soft Filtration v1.0.1 simulation software utilizing digital image analysis technique and filtration model described in [8][9][10].…”
Section: Es and Mb Filter Sample Characterizationmentioning
confidence: 99%
“…In some cases the SEM images obtained were consequently used to determine fibre diameter distribution and pore size distribution by using the recently developed UTBsoft Filtration v1.0.1 simulation software utilizing digital image analysis technique described in [3][4][5][6][7].…”
Section: Filter Sample Characterizationmentioning
confidence: 99%