Research on bimodal particle extinction coefficient during Brownian coagulation and condensation for the entire particle size regime

Tang, Hong; Lin, Jianzhong

doi:10.1007/s11051-011-0637-z

Cited by 8 publications

(7 citation statements)

References 24 publications

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“…where N i(j) is the number concentration of the particles in bin i(j) and b i,j is the coagulation coefficient between the particles of i and j bins. Coagulation coefficient b i,j is adapted from Tang and Lin (2011). The fractal dimension is estimated based on area and area concentrations as in Rosner and Pyyk€ onen (2002).…”

Section: Thermodynamic Equilibrium and Computational Fluid Dynamics Cmentioning

confidence: 99%

A Novel Porous Tube Reactor for Nanoparticle Synthesis with Simultaneous Gas-Phase Reaction and Dilution

Ruusunen

Pyykönen

Ihalainen

et al. 2015

Aerosol Science and Technology

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A novel porous tube reactor that combines simultaneous reactions and continuous dilution in a single-stage gas-phase process was designed for nanoparticle synthesis. The design is based on the atmospheric pressure chemical vapor synthesis (APCVS) method. In comparison to the conventional hot wall chemical vapor synthesis reactor, the APCVS method offers an effective process for the synthesis of ultrafine metal particles with controlled oxidation. In this study, magnetic iron and maghemite were synthesized using iron pentacarbonyl as a precursor. Morphology, size, and magnetic properties of the synthesized nanoparticles were determined. The X-ray diffraction results show that the porous tube reactor produced nearly pure iron or maghemite nanoparticles with crystallite sizes of 24 and 29 nm, respectively. According to the scanning mobility particle sizer data, the geometric number mean diameter was 110 nm for iron and 150 nm for the maghemite agglomerates. The saturation magnetization value of iron was 150 emu/g and that of maghemite was 12 emu/g, measured with superconducting quantum interference device (SQUID) magnetometry. A computational fluid dynamics (CFD) simulation was used to model the temperature and flow fields and the decomposition of the precursor as well as the mixing of the precursor vapor and the reaction gas in the reactor. An in-house CFD model was used to predict the extent of nucleation, coagulation, sintering, and agglomeration of the iron nanoparticles. CFD simulations predicted a primary particle size of 36 nm and an agglomerate size of 134 nm for the iron nanoparticles, which agreed well with the experimental data.

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Section: Thermodynamic Equilibrium and Computational Fluid Dynamics Cmentioning

confidence: 99%

A Novel Porous Tube Reactor for Nanoparticle Synthesis with Simultaneous Gas-Phase Reaction and Dilution

Ruusunen

Pyykönen

Ihalainen

et al. 2015

Aerosol Science and Technology

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“…Take the bimodal system, for example: the particles gather around two independent particle sizes. In order to study such a system, the particle size distribution should be separated into two sub-PSDs [6]. The dynamics of the system may be obtained according to the two subparticle clusters.…”

Section: Introductionmentioning

confidence: 99%

A New Method of Moments for the Bimodal Particle System in the Stokes Regime

Liu

Yin²

2013

Abstract and Applied Analysis

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The current paper studied the particle system in the Stokes regime with a bimodal distribution. In such a system, the particles tend to congregate around two major sizes. In order to investigate this system, the conventional method of moments (MOM) should be extended to include the interaction between different particle clusters. The closure problem for MOM arises and can be solved by a multipoint Taylor-expansion technique. The exact expression is deduced to include the size effect between different particle clusters. The collision effects between different modals could also be modeled. The new model was simply tested and proved to be effective to treat the bimodal system. The results showed that, for single-modal particle system, the results from new model were the same as those from TEMOM. However, for the bimodal particle system, there was a distinct difference between the two models, especially for the zero-order moment. The current model generated fewer particles than TEMOM. The maximum deviation reached about 15% for m0 and 4% for m2. The detailed distribution of each submodal could also be investigated through current model.

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“…Many properties of aerosol systems, such as light scattering [3], toxicity as well as physical processes including diffusion, condensation and thermophoresis depend strongly on their size distribution [4,5]. Therefore, Brownian coagulation is of great importance in many areas of science and technology [6,7].…”

Section: Introductionmentioning

confidence: 99%

Brownian coagulation of aerosols in transition regime

Chen

2012

THERM SCI

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The collision efficiency of Brownian coagulation for monodisperse aerosol particles in the transition regime is considered. A new expression for collision efficiency is proposed taking into account the influence of tangential relative motion when two particles get close enough during the diffusion process. The breakaway point from which the theory of near continuum regime no longer applies can thus be obtained easily. A comparison with experimental measurements shows the accuracy of the results predicted by the new theory

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Research on bimodal particle extinction coefficient during Brownian coagulation and condensation for the entire particle size regime

Cited by 8 publications

References 24 publications

A Novel Porous Tube Reactor for Nanoparticle Synthesis with Simultaneous Gas-Phase Reaction and Dilution

A Novel Porous Tube Reactor for Nanoparticle Synthesis with Simultaneous Gas-Phase Reaction and Dilution

A New Method of Moments for the Bimodal Particle System in the Stokes Regime

Brownian coagulation of aerosols in transition regime

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