Nanoparticle coagulation via a Navier–Stokes/nodal methodology: Evolution of the particle field

Garrick, Sean C.; Lehtinen, K. E. J.; Zachariah, Michael R.

doi:10.1016/j.jaerosci.2005.04.010

Cited by 34 publications

(27 citation statements)

References 66 publications

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“…This is done to elucidate the effect of the unresolved, small-scale particle-particle interactions on coagulation as the rate of coagulation increases. Previous research has shown that nanoparticles grow faster, as reflected by increases in the mean diameter, as Da increases (Garrick et al 2006;Das and Garrick 2010). The PDFs are fairly self-similar in that at all times their unimodal with a FIG.…”

Section: Effect Of the Coagulation Damköhler Numbermentioning

confidence: 81%

“…Due the initial perturbations placed on the velocity field, eddies form, grow in size, pair, and merge (Riley and Metcalfe 1980;Metcalfe et al 1987;Sandham and Reynolds 1991;Settumba and Garrick 2003). The large-scale motions of the eddies expedite mixing between the particle-laden and particlefree streams, affecting the particle concentrations through dilution of the particle-rich stream and dispersion of particles into the particle-free stream (Garrick et al 2006). In addition to the stream-wise vortical structures, Figure 1 also shows that the interface between the particle-laden and particle-free streams stretches and folds into tubular span-wise structures.…”

Section: Evolution Of the Momentsmentioning

confidence: 99%

“…The positive values ( SGS > 0) occur on the particle-free side of the interface, while the negative values ( SGS < 0) occur on the particle-laden side of the interface. This is due to the resultant dilution and concentration augmentation associated with the mixing processes (Settumba and Garrick 2003;Garrick et al 2006). A more quantitative view of the relationship between the total, mean, and SGS growth rates is obtained by considering scatter plots M versus .…”

Section: Particle Growth Ratementioning

confidence: 99%

“…A moment method is used to represent the particle field with a lognormal particle distribution (Pratsinis 1989;Settumba and Garrick 2003). This description is computationally less expensive than other approximations of the general dynamic equation (GDE) (Gelbard et al 1980;Garrick et al 2006). We utilize data from DNS to examine the particle growth rates and the SGS particle-particle interactions in regions dominated by fluid strain, fluid rotation, and molecular mixing.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Turbulent Fluctuations on Nanoparticle Coagulation in Shear Flows

Garrick

2011

Aerosol Science and Technology

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The effects of fluid turbulence on the coagulation of aerosols are studied quantitatively and qualitatively. Direct numerical simulation data is used to isolate the effect of the small or subgrid-scale (SGS) particle-particle interactions on nanoparticle coagulation in three-dimensional flows. The rate of particle growth is decomposed into the contribution of the large-scales and small-scales interactions. The contribution of the small-scale interactions is presented as a function of time, space, flow dynamics, and coagulation Damköhler number. Results show that small-scale interactions act to both increase and decrease particle growth. The probability density functions (PDFs) of the SGS growth rate exhibit a negative bias, which increases with time and coagulation Damköhler number. Additionally, PDFs conditioned on the Q-criterion suggest that the contribution of the small-scale interactions primarily act to reduce particle growth in regions characterized by fluid rotation.

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Section: Effect Of the Coagulation Damköhler Numbermentioning

confidence: 81%

Section: Evolution Of the Momentsmentioning

confidence: 99%

Section: Particle Growth Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of Turbulent Fluctuations on Nanoparticle Coagulation in Shear Flows

Garrick

2011

Aerosol Science and Technology

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“…This equation cannot easily be solved, and several numerical techniques have been developed for this purpose, including sectional methods (Garrick et al, 2006) and the method of moments (McGraw et al, 1998). A recent successful application of such methods was carried out by Chan et al (2010); using an LES approach for turbulence, coupled with a dispersion model based on the direct quadrature method of moments (DQMOM).…”

Section: Cfd Modellingmentioning

confidence: 99%

An overview of experimental results and dispersion modelling of nanoparticles in the wake of moving vehicles

Carpentieri

Kumar

Robins

2011

Environmental Pollution

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Impact of particle morphology on surface oxidation of nanoparticles: A kinetic Monte Carlo based study

2012

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A high‐fidelity coagulation driven kinetic Monte Carlo (KMC) model is developed to study the physics of the nonlinear interplay between competing exothermic collision‐coalescence mediated surface oxidation and complex morphologies in aggregated nanostructures generated during gas‐phase synthesis of nanoparticles. Results suggest a twofold oxidation mechanism in which thermally activated processes form a critical oxide shell, beyond which morphological complexity of nanoparticles gives rise to enhanced oxidation. Simulation results for the example case‐study of Al nanoparticle synthesis in air under different prototypical processing conditions, i.e., temperature, pressure and volume loading, show the efficacy of the model in determining optimal process variables for tuning the structural and chemical makeup of energetic nanomaterials. Finally, it is demonstrated that inclusion of nonisothermal coalescence that leads to the formation of fractal‐like nanoparticles (particularly, < 15 nm) gives rise to higher degrees of oxidation when compared to instantly coalescing spherical particles. © 2012 American Institute of Chemical Engineers AIChE J, 2012

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Nanoparticle coagulation via a Navier–Stokes/nodal methodology: Evolution of the particle field

Cited by 34 publications

References 66 publications

Effects of Turbulent Fluctuations on Nanoparticle Coagulation in Shear Flows

Effects of Turbulent Fluctuations on Nanoparticle Coagulation in Shear Flows

An overview of experimental results and dispersion modelling of nanoparticles in the wake of moving vehicles

Impact of particle morphology on surface oxidation of nanoparticles: A kinetic Monte Carlo based study

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