Micro-scale layered structural filtration efficiency model: Probing filtration properties of non-uniform fibrous filter media

Bai, He; Qian, Xiaoming; Fan, Jintu; Liu, Yongsheng; Duo, Yongchao; Guo, Changsheng; Wang, Xiaobo

doi:10.1016/j.seppur.2019.116037

Cited by 29 publications

(22 citation statements)

References 35 publications

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“…Figure a–b gives a comparison of the theoretically predicted filtration efficiency based on different equivalent fiber diameters with the experimental results of Bai et al . and Przekop et al It can be clearly seen that the theoretical prediction of the equivalent fiber diameter calculated based on the flow field theory for fibrous filtration efficiency gives the best fit with experimental results.…”

Section: Resultsmentioning

confidence: 75%

“…Several studies recently proposed the use of fractal theory for analyzing the microscopic characteristics of porous materials. 42−45 Bai et al 46 analyzed the fractal characteristics of pore channels in fibrous filters and improved the classical single fiber filtration theory. Based on fractal theory, Clifford et al 47 proposed an expression to define the EDC for the pore size that falls in the transition region.…”

Section: Introductionmentioning

confidence: 99%

“…Because the microstructure of fibrous materials has fractal characteristics, fractal theory has also been shown to be effective in analyzing their filtration performance, which has been used to determine the EDC of fibrous filters with a complex microstructure. Several studies recently proposed the use of fractal theory for analyzing the microscopic characteristics of porous materials. − Bai et al analyzed the fractal characteristics of pore channels in fibrous filters and improved the classical single fiber filtration theory. Based on fractal theory, Clifford et al proposed an expression to define the EDC for the pore size that falls in the transition region …”

Section: Introductionmentioning

confidence: 99%

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Probing the Effective Diffusion Coefficient and Filtration Performance of Micro/Nanofibrous Composite Layered Filters

Bai

Qian

Fan

et al. 2021

Ind. Eng. Chem. Res.

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Diffusion is an important filtration mechanism of fibrous filters for removing fine particles from gas streams. An analytical model is proposed in this work, based on fractal theory, to quantify the effective diffusion coefficient (EDC) across micro/nanofibrous filters with a layered structure. To show the influence of macroscopic parameters of fibrous filters on EDC, the present models are expressed in terms of fiber diameter. Polyacrylonitrile (PAN) nanofibers were prepared by electrospinning on melt-blown polypropylene (PP) microfiber filter materials to form micro/nanofibrous filters. To validate this model, a three-dimensional (3D) fiber model with physical parameters of the samples was reconstructed using the GeoDict code, and the Brownian movement of nanoparticles was simulated to calculate the EDC. Two kinds of pore size distributions for the layer-structured fibrous filters have been identified, which also shows the internal heterogeneity of the filter media. With decreasing fiber diameter, the tortuosity of the pore channel increases, while the EDC decreases. Compared with the numerical simulation and the experimental data reported in the literature, the current model gives a better theoretical prediction. In addition, the diffusion mechanism in classical filtration theory was modified to reduce the deviation between theoretical prediction and experimental results.

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Section: Resultsmentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Probing the Effective Diffusion Coefficient and Filtration Performance of Micro/Nanofibrous Composite Layered Filters

Bai

Qian

Fan

et al. 2021

Ind. Eng. Chem. Res.

Self Cite

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“…Their results suggested that flow re-entrainment can increase particle penetration, and the effect depends mainly on the fiber volume fraction. Bai et al 30 constructed a layered filter model based on measured fiber dimensions and fiber orientation distributions. They demonstrated that the simulations of the filter efficiency for the digital twin model reproduced the measured values for a real sample.…”

Section: Introductionmentioning

confidence: 99%

Unfolding the effects of decontamination treatments on the structural and functional integrity of N95 respirators via numerical simulations

Sharma

Wang

Rao

et al. 2022

Sci Rep

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Filtering facepiece respirators (FFRs) provide effective protection against diseases spread through airborne infectious droplets and particles. The widespread use of FFRs during the COVID-19 pandemic has not only led to supply shortages, but the disposal of single-use facemasks also threatens the environment with a new kind of plastic pollution. While limited reuse of filtering facepiece respirators has been permitted as a crisis capacity strategy, there are currently no standard test methods available for decontamination before their repeated use. The decontamination of respirators can compromise the structural and functional integrity by reducing the filtration efficiency and breathability. Digital segmentation of X-ray microcomputed tomography (microCT) scans of the meltblown nonwoven layers of a specific N95 respirator model (Venus-4400) after treatment with one and five cycles of liquid hydrogen peroxide, ultraviolet radiation, moist heat, and aqueous soap solution enabled us to perform filtration simulations of decontaminated respirators. The computed filtration efficiencies for 0.3 µm particles agreed well with experimental measurements, and the distribution of particle penetration depths was correlated with the structural changes resulting from decontamination. The combination of X-ray microCT imaging with numerical simulations thus provides a strategy for quantitative evaluation of the effectiveness of decontamination treatments for a specific respirator model.

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“…Therefore, it is of great significance to study the influence of fiber arrangement or orientation distribution on the filtration performance of micro-nano fiber nonwovens. 23 In this study, a polystyrene (PS) microfiber was prepared by electrospinning technology. By adjusting the rotating speed of collecting roller, fiber membranes with different orientation degrees were fabricated.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Orientation Degree of Electrospun Polystyrene Fiber on Filtration Performance of Fiber Membrane

Zheng

Gao

2022

AATCC Journal of Research

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In this study, ultrafine polystyrene fiber membranes with different fiber orientation degrees were prepared by and electrospinning method, and two methods were used to characterize the fiber orientation degree. In addition, the effects of fiber orientation degree on the surface wettability and smoke filtration performance of fiber membrane were studied. The results showed that the water repellency and smoke absorption capacity of the polystyrene fiber membrane decrease with the increasing fiber orientation degree and the porosity. The orientation degree of the fiber has a significant influence on the smoke filtration performance of fiber membrane.

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Micro-scale layered structural filtration efficiency model: Probing filtration properties of non-uniform fibrous filter media

Cited by 29 publications

References 35 publications

Probing the Effective Diffusion Coefficient and Filtration Performance of Micro/Nanofibrous Composite Layered Filters

Probing the Effective Diffusion Coefficient and Filtration Performance of Micro/Nanofibrous Composite Layered Filters

Unfolding the effects of decontamination treatments on the structural and functional integrity of N95 respirators via numerical simulations

The Effect of Orientation Degree of Electrospun Polystyrene Fiber on Filtration Performance of Fiber Membrane

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