2020
DOI: 10.1016/j.seppur.2019.116184
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Modeling electrospun fibrous structures with embedded spacer particles: Application to aerosol filtration

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Cited by 25 publications
(11 citation statements)
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“…The SFE model is a well-known analytical tool that has been traditionally prevalent in literature which may be used to estimate the total filtration efficiency of filter media based on a calculated particle capture efficiency of a single, isolated fiber positioned perpendicular to the direction of flow [8,27,28]. Yousefi and Tafreshi in 2020 demonstrated the use of the SFE model to predict the filtration efficiency, flow resistance, and FOM of digital twin electrospun filter media embedded with spacer particles [30]. Using their method as a guide, the SFE model can be applied to predict the filtration efficiency, flow resistance, and FOM for our digital twin filter.…”
Section: Discussion: Analytical Modeling Of Digital Twin Filter Geome...mentioning
confidence: 99%
See 1 more Smart Citation
“…The SFE model is a well-known analytical tool that has been traditionally prevalent in literature which may be used to estimate the total filtration efficiency of filter media based on a calculated particle capture efficiency of a single, isolated fiber positioned perpendicular to the direction of flow [8,27,28]. Yousefi and Tafreshi in 2020 demonstrated the use of the SFE model to predict the filtration efficiency, flow resistance, and FOM of digital twin electrospun filter media embedded with spacer particles [30]. Using their method as a guide, the SFE model can be applied to predict the filtration efficiency, flow resistance, and FOM for our digital twin filter.…”
Section: Discussion: Analytical Modeling Of Digital Twin Filter Geome...mentioning
confidence: 99%
“…In 2016, Karakoc et al modeled composite structure fiber networks as planar projections and intersections of rectangular cross-section shaped fibers [29]. Finally, in 2019 Yousefi and Tafreshi made use of Python scripting and C++ programming to replicate electrospun fiber materials using Kelvin-Voight method of representing fibers as a series of springs and dampers [30,31]. The current effort presented in this work is intended to complement these accomplishments by offering a simple methodology to produce digital fibrous geometry.…”
Section: Literature Review: Virtual Three-dimensional Geometric Modelsmentioning
confidence: 99%
“…The formation of PCL filaments was simulated and good agreement between the predicted and measured fiber diameters were observed. The effects of spacer particles with different diameters or basis weights on the thickness and solid volume fraction of spacer‐embedded fibrous media were investigated 15 . According to their results, the addition of separator particles to a fibrous filter reduced the collection efficiency and pressure drop, which resulted in filters with better quality factor.…”
Section: Introductionmentioning
confidence: 99%
“…The effects of spacer particles with different diameters or basis weights on the thickness and solid volume fraction of spacer-embedded fibrous media were investigated. 15 According to their results, the addition of separator particles to a fibrous filter reduced the collection efficiency and pressure drop, which resulted in filters with better quality factor. The effect of electrospinning processing parameters (flow rate, electric field, concentration, and time of electrospinning) on the morphological properties of the electro spun nano-fibrous web was studied and the web was tested for its air permeability and filtration efficiency against aerosol particles.…”
mentioning
confidence: 99%
“…Currently, numerical simulations [18][19][20] are an effective and widely used tool to analyze among others thermal processes occurring in clothing, phenomena in porous materials [21,22] as well as filtration processes occurring in fibrous materials [23][24][25]. Moreover, these tools use models of real clothing and numerical analysis of physical phenomena to predict their protective properties.…”
Section: Introductionmentioning
confidence: 99%