Deposition and Filtration of Nanoparticles in the Composites of Nano- and Microsized Fibers

Przekop, Rafał; Gradoń, Leon

doi:10.1080/02786820802187077

Cited by 78 publications

(47 citation statements)

References 13 publications

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“…For nanoparticles, the continuum flow assumption fails and the flow becomes a free molecular, which means that each molecule travels between other molecules a number of times before collision with other molecules (Przekop and Gradoń, 2008).…”

Section: Calculation Of Nanoparticle Filtration Efficiencymentioning

confidence: 99%

An Overview of Airborne Nanoparticle Filtration and Thermal Rebound Theory

Givehchi

Tan

2014

Aerosol Air Qual. Res.

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This paper provides an overview of recent studies on the filtration of airborne nanoparticles. Classical filtration theory assumes that the efficiency of nanoparticle adhesion is at unity when nanoparticles strike a filter with a Brownian motion. However, it has been pointed out that small nanoparticles may have a sufficiently high impact velocity to rebound from the surface upon collision, a mechanism called thermal rebound. According to thermal rebound theory, the adhesion efficiency of nanoparticles decreases if their size is reduced. However, this phenomenon has not yet been clearly observed in experimental studies; there are still a number of uncertainties associated with the concept of thermal rebound, which is yet to be either proven or disproven. This review paper discusses the findings in the current literature related to thermal rebound theory.

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Section: Calculation Of Nanoparticle Filtration Efficiencymentioning

confidence: 99%

An Overview of Airborne Nanoparticle Filtration and Thermal Rebound Theory

Givehchi

Tan

2014

Aerosol Air Qual. Res.

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“…In other words, r b and 1 -r b represents the probability for a fluid particle to be bounced back and slipped forward, respectively. When r b = 1, it corresponds to pure bounce-back scheme, which means that a fluid particle changes its moving direction to the opposite one when it contacts the solid surface (Przekop and Gradoń, 2008). Whereas r b = 0 corresponds to pure specular reflection scheme used for free slip boundary conditions.…”

Section: Boundary Condition Slip Boundary Conditionmentioning

confidence: 99%

“…The slip effects imposed at a solid-fluid interface were well captured by the current LB method. Two mesoscopic kinetic boundary conditions are widely used to realize the slip boundary conditions, i.e., the combination of bounce-back and specular reflection (BSR) scheme (Przekop and Gradoń, 2008;Guo et al, 2002;Succi, 2002;Tang et al, 2004;Sbragaglia and Succi, 2005) and the discrete Maxwellian (DM) scheme (Ansumali and Karlin, 2002;Niu et al, 2004;Tang et al, 2005;Zheng et al, 2012). Guo et al (2002) also pointed out that BSR and DM schemes are useful for different applications.…”

Section: Introductionmentioning

confidence: 99%

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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“…The presence of previously deposited particles produces the increase of both -filtration efficiency and pressure drop. It is worth noting that not only the total amount of deposited particles, but also their spatial distribution and structure affect filter performance (Przekop and Gradoń, 2008). Thus the development of a comprehensive model that takes into account all possible phenomena occurring during the filtration process is necessary.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of particle loading in deep-bed filter. Transport, deposition and reentrainment

Przekop

Gradoń

2016

Chemical and Process Engineering

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Deep bed filtration is an effective method of submicron and micron particle removal from the fluid stream. There is an extensive body of literature regarding particle deposition in filters, often using the classical continuum approach. However, the approach is not convenient for studying the influence of particle deposition on filter performance (filtration efficiency, pressure drop) when nonsteady state boundary conditions have to be introduced. For the purposes of this work the latticeBoltzmann model describes fluid dynamics, while the solid particle motion is modeled by the Brownian dynamics. For aggregates the effect of their structure on displacement is taken into account. The possibility of particles rebound from the surface of collector or reentrainment of deposits to fluid stream is calculated by energy balanced oscillatory model derived from adhesion theory. The results show the evolution of filtration efficiency and pressure drop of filters with different internal structure described by the size of pores. The size of resuspended aggregates and volume distribution of deposits in filter were also analyzed. The model enables prediction of dynamic filter behavior. It can be a very useful tool for designing filter structures which optimize maximum lifetime with the acceptable values of filtration efficiency and pressure drop.

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Deposition and Filtration of Nanoparticles in the Composites of Nano- and Microsized Fibers

Cited by 78 publications

References 13 publications

An Overview of Airborne Nanoparticle Filtration and Thermal Rebound Theory

An Overview of Airborne Nanoparticle Filtration and Thermal Rebound Theory

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

Dynamics of particle loading in deep-bed filter. Transport, deposition and reentrainment

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