2015
DOI: 10.1016/j.compfluid.2015.04.019
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Simulations of filter media performances from microtomography-based computational domain. Experimental and analytical comparison

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Cited by 41 publications
(29 citation statements)
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“…Depending on the SEM observation, pore structure parameters, and area extension data of the ripple‐like PA‐6 NF/N filters, the virtual clones of filter media and filtration process were designed employing the FiberGeo and FilterDict procedures, as demonstrated in Figure (detailed information was given in the Supporting Information). FiberGeo generated the minimal representative domains for filters with and without PET filaments (Figure a,a′), respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Depending on the SEM observation, pore structure parameters, and area extension data of the ripple‐like PA‐6 NF/N filters, the virtual clones of filter media and filtration process were designed employing the FiberGeo and FilterDict procedures, as demonstrated in Figure (detailed information was given in the Supporting Information). FiberGeo generated the minimal representative domains for filters with and without PET filaments (Figure a,a′), respectively.…”
Section: Resultsmentioning
confidence: 99%
“…There are two major application types of the air filter media, wearable respirators and air filter equipment (vacuum cleaner bags, indoor air cleaning, indoor air purifiers), possessing different priority criteria of fibrous properties. To unravel the behavior of structural properties to collection efficiencies and to acquire comparable results from theoretical predictions and experimental data, considerable effort has been devoted to the development of filtration modeling using three-dimensional (3D) filter structures obtained by different approaches as more and more microstructural properties of filter media have been taken into account [12][13][14][15]. Moreover, the filtration performance is strongly influenced by the porosity of the fibrous material but no reliable methods in determining porosity is well known.…”
Section: Introductionmentioning
confidence: 99%
“…For an estimate of uncertainty of sample preparation, simulations were run for two different sand samples that were split into 5 subsamples, to obtain an overall variability of ±20%. Recent work has demonstrated the quality of the numerical solution of the FlowDict solver in comparison to observations [43][44][45].…”
Section: X-ray Micro Computed Tomography (Xrt)mentioning
confidence: 99%