Generation of 2-dimensional models for CFD simulation of fibrous filter media with binder

Zhou, Bin; Tronville, Paolo Maria; Rivers, R.

doi:10.1007/s12221-009-0526-6

Cited by 11 publications

(7 citation statements)

References 20 publications

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“…The computational domain and the log-normal distributed random fiber model (Zhou et al, 2009) were adopted, which represents the image of a cutting plane perpendicular to the filter media. Modeling selects only a small fraction of the total width, but includes the entire thickness, taking explicit account of the microstructure and the variability of fibers in both diameter and location.…”

Section: Computational Modelmentioning

confidence: 99%

“…Likewise, the distance from the outlet to the media CD = 120 µm which was set to prevent the inverse flow for the full development of the air flow in the media. The sensitivity analysis of media thickness and width has been performed and the optimal values are adopted (Zhou et al, 2009). In Table 1, the geometric information is presented for the media model.…”

Section: Computational Modelmentioning

confidence: 99%

“…Therefore, in this study the truncated log-normal distributed model (Zhou et al, 2009) will be investigated by using LB method when slip boundary condition is considered. Both the initial pressure drop and the filtration efficiency will be investigated, which is aimed to provide a feasible theoretical and numerical model for further study of fibrous air filter media with low-resistance and high-efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation and Experimental Validation for the Filtration Performance of Fibrous Air Filter Media with LB Method

Zhou

Fan

et al. 2017

Aerosol Air Qual. Res.

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The performance of fibrous air filter media is one of the key factors to influence the indoor air quality. In order to develop low-resistance and high-efficiency media, it is necessary to obtain a realistic media model. Based on the truncated log-normal model, the D2G9 scheme of Lattice Boltzmann (LB) method was applied to predict both the resistance and the filtration efficiency of the flow through microscale porous media. The influences of the boundary conditions were investigated. The slip and no-slip boundary conditions on fiber surfaces, as well as the non-equilibrium extrapolation scheme and the periodic scheme, were included in this study. By validating the simulated results with both the experimental and empirical values, it was found that the simulated resistance with the slip boundary on fiber surface and the periodic scheme on upper/lower walls was closer to the real value. The model established in this paper and the LB method presented here provide support for further research on optimization of the fibrous air filter media.Keywords: Fibrous media; LB method; Slip boundary condition; Resistance; Efficiency. NOMENCLATURE Abbreviations BSRbounce-back/specular-reflection LB Lattice Boltzmann LBE Lattice Boltzmann equation Latin Lettersrelaxation time of particles, (s) c s lattice sound speed (= 1/√3·δ x /δ t in D2Q9 model)distribution function at position r and time t along the direction α ( , ) KnKnudsen number L filter media thickness, (m)

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Section: Computational Modelmentioning

confidence: 99%

Section: Computational Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation and Experimental Validation for the Filtration Performance of Fibrous Air Filter Media with LB Method

Zhou

Fan

et al. 2017

Aerosol Air Qual. Res.

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“…Fibrous based air filters are widely used in many applications in area of pharmaceutical, medical, biology, food, semi-conductor industries and therefore it is not surprising that both experimental [1][2][3] and theoretical studies [4][5][6][7][8][9][10][11] dealing with their basic characteristics (such as the pressure drop and particle collection efficiency) can be found in the open literature. It has been shown theoretically and experimentally that the particles accumulation in the filter happened in the following three stages.…”

Section: Introductionmentioning

confidence: 99%

Effect of particle-fiber friction coefficient on ultrafine aerosol particles clogging in nanofiber based filter

Sambaer¹,

Zatloukal²,

Kimmer³

2013

AIP Conference Proceedings

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Abstract. Realistic SEM image based 3D filter model considering transition/free molecular flow regime, Brownian diffusion, aerodynamic slip, particle-fiber and particle-particle interactions together with a novel Euclidian distance map based methodology for the pressure drop calculation has been utilized for a polyurethane nanofiber based filter prepared via electrospinning process in order to more deeply understand the effect of particle-fiber friction coefficient on filter clogging and basic filter characteristics. Based on the performed theoretical analysis, it has been revealed that the increase in the fiber-particle friction coefficient causes, firstly, more weaker particle penetration in the filter, creation of dense top layers and generation of higher pressure drop (surface filtration) in comparison with lower particle-fiber friction coefficient filter for which deeper particle penetration takes place (depth filtration), secondly, higher filtration efficiency, thirdly, higher quality factor and finally, higher quality factor sensitivity to the increased collected particle mass. Moreover, it has been revealed that even if the particle-fiber friction coefficient is different, the cake morphology is very similar.

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“…Prior studies have shown that when considering fibrous air filters, the binder needs to be included in any CFD models if it is present in that filter (Zhou, 2009). It is possible that the hydrophobicity of the binder used could contribute to a pressure drop that deviates from that of a binder-less block with otherwise identical properties.…”

Section: Fo As Defined In Equationmentioning

confidence: 99%

Experimental observation of the relationship between the pressure drop and flow rate of radial flow through porous media.

Okruch¹

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Nuss, and Nick Okruch all lent me their time and expertise in specific areas, including water filtration, software development, equipment operation, and plastic part production methods.Without them, this project would not have been possible. The modified Forchheimer equation appeared to be the most accurate predictor of a component of the physical results, although further geometric analysis is necessary to determine the form drag coefficient and end effects. Obtaining these values will allow for a full pressure drop -flow rate relationship prediction.

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Generation of 2-dimensional models for CFD simulation of fibrous filter media with binder

Cited by 11 publications

References 20 publications

Numerical Simulation and Experimental Validation for the Filtration Performance of Fibrous Air Filter Media with LB Method

Numerical Simulation and Experimental Validation for the Filtration Performance of Fibrous Air Filter Media with LB Method

Effect of particle-fiber friction coefficient on ultrafine aerosol particles clogging in nanofiber based filter

Experimental observation of the relationship between the pressure drop and flow rate of radial flow through porous media.

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